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Subject: SMB Digest v14i28
SMB Digest July 9, 2014 Volume 14 Issue 28
ISSN 1086-6566
Editor: Richard Schugart richard(dot)schugart(at)gmail(dot)com
Note:
Information about the Society for Mathematical Biology, including an
application for membership, may be found in the SMB Home Page,
http://www.smb.org/ .
Access the Bulletin of Mathematical Biology, the official journal of
SMB, at http://www.springer.com/11538 .
Inquiries about membership or BMB fulfillment should be sent to
membership(at)smb(dot)org .
Issue's Topics:
Books: New Books Alert, Springer
Book Announcement: Mathematical Modeling in Renal..., Layton
Post-doc: Statistical Analysis, Ancient DNA Data, U Copenhagen
Lecturer/Senior Lecturer: Applied/Comp. Math., U Queensland
Position: Math Modeller, Antibiotic..., Public Health England
SMBnet Reminders
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From: Springer <SpringerAlerts@springeronline.com>
Date: July 3, 2014 2:04:22 AM
Reply-To: onlineservice@springer.com <onlineservice@springer.com>
Subject: Books: New Books Alert, Springer
NEW PRINT & EBOOKS
Mathematics
Mathematical and Computational Biology
Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics
Book Series: Lecture Notes on Mathematical Modelling in the Life
Sciences
Santillán, Moisés
http://www.springer.com/alert/urltracking.do?id=L4ba5d93Mf9416cSa845d7bPa8897ce
High-Performance Computational Solutions in Protein Bioinformatics
Book Series: SpringerBriefs in Computer Science
Mrozek, Dariusz
http://www.springer.com/alert/urltracking.do?id=L4b89ffbMf9416cSa845d7bPa88f20f
Managing Complexity, Reducing Perplexity
Book Series: Springer Proceedings in Mathematics & Statistics,
Vol. 67
Editor/s: Delitala, Marcello; Ajmone Marsan, Giulia
http://www.springer.com/alert/urltracking.do?id=L4b89ff6Mf9416cSa845d7bPa834391
----------------------------------------------------
From: Walker, Danielle, Springer US <Danielle.Walker@springer.com>
Date: July 7, 2014 10:57:45 AM
Subject: Book Announcement: Mathematical Modeling in Renal..., Layton
Forthcoming from Springer
Anita Layton/Aurelie Edwards, Mathematical Modeling in Renal Physiology,
Lecture Notes on Mathematical Modelling in the Life Sciences Series
This comprehensive and richly illustrated volume provides up-to-date,
wide-ranging material on the mathematical modeling of kidney physiology,
including clinical data analysis and practice exercises. Basic concepts
and modeling techniques introduced in this volume can be applied to
other areas (or organs) of physiology.
With the availability of high speed computers and advances in
computational techniques, the application of mathematical modeling to
biological systems is expanding. The models presented in this book
describe the main homeostatic functions performed by the kidney,
including blood filtration, excretion of water and salt, maintenance of
electrolyte balance, and regulation of blood pressure. Each chapter
includes an introduction to the basic relevant physiology, a derivation
of the essential conservation equations, and then a discussion of a
series of mathematical models, with increasing level of complexity.
This volume will be of interest to biological and mathematical
scientists, as well as physiologists and nephrologists, who would like
an introduction to mathematical techniques that can be applied to renal
transport and function. The material is written for students who have
had college-level calculus, but can be used in modeling courses in
applied mathematics at all levels through early graduate courses.
Anita T. Layton is the Robert R. and Katherine B. Penn Associate
Professor of Mathematics at Duke University.
Aurélie Edwards is director of the Laboratory of Renal Physiology at the
Cordeliers Research Center in Paris, in affiliation with the French
National Center for Scientific Research (CNRS).
Due Summer 2014 -
http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-3-642-27366-7
----------------------------------------------------
From: Carsten Wiuf <wiuf@math.ku.dk>
Date: July 9, 2014 9:09:12 AM
Subject: Post-doc: Statistical Analysis, Ancient DNA Data, U Copenhagen
Postdoctoral Fellowships in Statistical Analysis of Ancient DNA Data
Two-year postdoctoral fellowships are available jointly at the
Department of Mathematical Sciences, University of Copenhagen, and the
Bioinformatics Centre, Department of Biology. The positions are open
until filled and will be available from Nov 1, 2014, or as soon after.
Background: The Genomic History of Denmark
The positions are part of the University of Copenhagen's dedicated
2016-program in the genomic history of Denmark. The aim of the project
is to map the country's evolutionary, demographic and health history --
from the earliest settlers to modern times -- mainly through
high-throughput next generation sequencing data. The project is highly
interdisciplinary and involves researchers from many departments. The
positions are in the groups of Professor Carsten Wiuf at the Department
of Mathematical Sciences and Associate professor Anders Albrechtsen at
the Bioinformatics Center. The candidate will also be affiliated the
GeoGenetics Center at the university, where the data will be produced.
Job Specification and Qualifications
The candidate will work with development and application of statistical
techniques for the analysis of mainly fossil DNA sequence data. In
particular, the candidate is expected to be familiar with multivariate
analysis and some of the statistical tools for analysing sequence data,
for example, Markov chains, the coalescent and diffusion processes. Some
experience in handling large data sets, in particular sequencing data,
and in programming would be essential.
The candidate is expected to be able to work independently, and share
knowledge and results in a team. Depending on the skills and interests
of the candidate, some flexibility in the tasks is possible.
Requirements
The candidate should hold a PhD in statistics, mathematics,
bioinformatics or similarly field of study. The candidate should have a
proven publication record in internationally recognised journals.
Information and Application
For enquiries, contact Carsten Wiuf (wiuf@math.ku.dk,
http://www.math.ku.dk/~wiuf) or Anders Albrechtsen
(albrecht@binf.ku.dk). For information about the GeoGenetics Center, see
http://geogenetics.ku.dk/.
To apply, send an email to Carsten Wiuf or Anders Albretchsen with a
cover letter about your reasons to apply, CV and publication list. In
addition you should provide 2-3 names of agreed references.
----------------------------------------------------
From: SMP HR Mailbox <hr@smp.uq.edu.au>
Date: July 8, 2014 1:52:07 AM
Subject: Lecturer/Senior Lecturer: Applied/Comp. Math., U Queensland
Lecturer/Senior Lecturer in Applied Mathematics or Computational
Mathematics (Continuing teaching and research position)
The University of Queensland is recognised nationally and
internationally for its research programs across a broad area of
mathematics and statistics, and is the leading provider of tertiary
mathematics education in Queensland. The School of Mathematics and
Physics hosts several research centres and is an active partner in a
number of multidisciplinary research groups both within and external to
the University. Our staff are recognised internationally for their
active and dynamic research programs across a wide range of areas in
mathematics.
We are seeking a motivated applied mathematician interested in joining
our School. We are particularly interested in candidates with expertise
in mathematical modelling and/or computational mathematics.
The University of Queensland is one of the top three universities in
Australia, measured by the quality of its comprehensive range of
research fields. In addition to providing excellent potential for
interdisciplinary research, the University is located in the vibrant
riverfront city of Brisbane, whose sub-tropical climate, cultural
diversity, and proximity to coastal regions make it an attractive
environment in which to live.
The role
The successful appointee will be expected to take an active role in the
research efforts of the School. This includes frequent publication in
high quality journals, participation in and organizing of conferences,
international and interdisciplinary collaboration, and attracting
competitive research funding. The appointee will be expected to teach
from a selection of undergraduate and postgraduate mathematics courses,
ranging from large first year courses to specialised graduate courses.
Other teaching duties include postgraduate supervision and curriculum
development. The selected candidate will be expected to raise further
the University's strong international profile in mathematics, and to
attract postgraduate students and postdoctoral researchers to the
University.
The person
Outstanding applicants in any area of applied mathematics are encouraged
to apply. The School is particularly interested in applicants with a
strong research record in mathematical modeling and/or computation.
The applicants must have a strong international research record,
relative to opportunity. Also, they must have a genuine commitment to
mathematics teaching and curriculum development, and be an advocate of
mathematics within the University and in the broader community.
Candidates will be expected to demonstrate how their research interests
mesh with our existing strengths.
Remuneration
The appointment will be made on a full-time, continuing basis at
Academic level B or C (depending on experience and qualifications).
The remuneration package of an Academic Level B appointment will be in
the range of $83,904 - $99,635 p.a., plus employer superannuation
contributions of up to 17% (total package will be in the range of
$98,167 - $116,572 p.a.).
The remuneration package of an Academic Level C appointment will be in
the range of $102,782 - $118,513 p.a., plus employer superannuation
contributions of up to 17% (total package will be in the range of
$120,025 - $138,660 p.a.).
Enquiries
To discuss this role please contact Professor Ole Warnaar
+61 7 3365 3487 or email: o.warnaar@maths.uq.edu.au
http://jobs.uq.edu.au/caw/en/job/496210/lecturersenior-lecturer-in-applied-mathematics-or-computational-mathematics
----------------------------------------------------
From: Julie Robotham <Julie.Robotham@phe.gov.uk>
Date: July 4, 2014 2:09:11 AM
Subject: Position: Math Modeller, Antibiotic..., Public Health England
Job: Mathematical Modeller-Antibiotic Resistance, Public Health England
An exciting opportunity has arisen for an innovative and creative
mathematical modeller to develop models exploring the spread and control
drug-resistant bacteria.
The post-holder will lead the development of mathematical models of the
dynamics of multi-drug resistant Gram negative bacteria in hospitals and
the community, and then use these models to evaluate the effectiveness
of intervention strategies in both the short and long-term.
The successful applicant will have strong modelling skills, together
with a keen interest in infectious diseases and public health, and will
be highly motivated and enthusiastic about working collaboratively with
researchers from different disciplines both nationally and
internationally.
They will join an existing infectious disease modelling team with
considerable experience undertaking policy focused research and
providing advice to decision makers in the UK and Europe.
Salary: £37,175-£45,769 per annum
Closing date: 14/07/2014
For more information and application, please visit:
https://www.jobs.nhs.uk/xi/vacancy/e4b211616709f04964ae5328878cd846/?vac_ref=913440808
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Subject: SMBnet Reminders
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