SMB Digest April 22, 2014 Volume 14 Issue 17
ISSN 1086-6566
Editor: Wandi Ding ding.smb.digest(at)gmail(dot)com
Note:
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application for membership, may be found in the SMB Home Page,
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Issue's Topics:
Course on Infectious Disease Modelling, June 16-27, London
Model Fitting&Infer. Infec. Disease Dyn. July 8-10, London
Graduate positions: Mathematical&Popu. genetics, McGill U
Postdoc position: Scientific Computing, U of Alabama
Assoc. Prof./Prof. in Applied Mathematics: U of Southampton
SMBnet Reminders
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Date: Thu, Apr 17, 2014 at 8:37 AM
Subject: Course on Infectious Disease Modelling, June 16-27, London
2 week intensive course on:
"INTRODUCTION TO INFECTIOUS DISEASE MODELLING AND ITS APPLICATIONS"
organized jointly between the London School of Hygiene & Tropical
Medicine and Public Health England
Venue: London School of Hygiene & Tropical Medicine
Course dates: 16th? 27th June 2014
Cost: £2,100
Summary:
Mathematical modelling is increasingly applied to predict the future
incidence and control of infectious diseases. Applications include
predicting the impact of control strategies, such as vaccination or
treatment, against pandemic influenza, measles, HIV, vector-borne
diseases and veterinary problems. Modelling was used extensively
in the UK during the swine flu pandemic to monitor the extent of
ongoing transmission and the potential impact of interventions
such as school closures and vaccination.
This two week intensive course introduces professionals working on
infectious diseases in human or animal populations to this exciting
and expanding area. The emphasis of the course is on developing a
conceptual understanding of the basic methods and on their practical
application, rather than the manipulation of mathematical equations.
The course provides numerous practical examples, including real-time
modelling of outbreaks, pandemic influenza, sexually transmitted
infections, HIV, vector-borne and animal diseases, as well as
tuberculosis, measles and rubella, and health economics. By the end
of the course, participants will have deepened their current
understanding of infectious disease epidemiology and have gained
an understanding and practical experience of the basics of
infectious disease modelling, which will be important in their
future work.
Who should attend:
The course is designed for individuals interested in expanding
their knowledge of the techniques for analysing and interpreting
epidemiological data on infectious diseases and for predicting the
impact of control programmes, including medical and health
professionals, policy makers, veterinary scientists, health
economists, medical statisticians and infectious disease researchers.
Specialist mathematical training is not a prerequisite. However,
individuals with degrees in mathematical disciplines working on
some aspect of infectious disease dynamics and/or control, who
wish to learn about the potential of infectious disease modelling
will also benefit.
Further details about the course content and an application form
or contact one of the course organizers:
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Date: Thu, Apr 17, 2014 at 1:11 PM
Subject: Model Fitting&Infer. Infec. Disease Dyn. July 8-10, London
The Centre for the Mathematical Modelling of Infectious Diseases
(CMMID) at the London School of Hygiene & Tropical Medicine is are
pleased to invite applications for a 3-day course on
*Model fitting and inference for infectious disease dynamics*
The course will be held from 8-10 July. The course fee is £500.
For details and to apply, please visit
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Date: Thu, Apr 17, 2014 at 4:07 PM
Subject: Graduate positions: Mathematical&Popu. genetics, McGill U
Graduate student positions in mathematical and population genetics
are available in Simon Gravel's group at McGill University in Montreal,
Canada. The group focuses on creating mathematical and statistical
methods to understand human history and evolution through the
analysis of high-throughput genomic data. Students will be involved
in conceptual methods development, implementation, and applications
to exciting datasets. This is unique opportunity to be involved in
work that is relevant and interesting from a mathematical, medical,
and historical perspectives.
We welcome applications from qualified candidates from diverse
backgrounds, including biology, anthropology, mathematics, physics,
computer science, and related fields.
The position offers an exceptional opportunity for collaborative
research in a quantitative and theoretical lab with access to
cutting-edge data. McGill?s Department of Human Genetics, the Genome
Quebec Innovation Center, and the numerous nearby institutes in
downtown Montreal provide a thriving research environment.
Please include a statement of interest (1 page), a CV with a list
of publications, contact information for three references, and a
low-resolution scan of official transcripts.
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Date: Fri, Apr 18, 2014 at 4:11 PM
Subject: Postdoc position: Scientific Computing, U of Alabama
The University of Alabama Department of Mathematics invites
applications for a non-tenure-track, Postdoctoral Research Associate
position in Scientific Computing, beginning the fall term of 2014.
The initial appointment will be for one year and is renewable for
up to two years, depending on performance. The Postdoctoral Fellow
will work with Dr. Shan Zhao on Computational Molecular Biology.
A Ph.D. in Computational Mathematics, Mathematical Biology or a
related field is required. Strong programming skills are also
required. Candidates with expertise in immersed interface/boundary
methods, high order methods for PDEs, PDE models for molecular
biology, mathematical biophysics, or parallel/GPU computing are
encouraged to apply. Applications should include the following:
1) curriculum vitae, 2) cover letter, 3) one-page research statement,
and 4) copies of up to 3 selected publications. All application
Applicants must also arrange for three letters of recommendation to
be sent to
szhao@ua.edu. The University of Alabama is an Equal
Opportunity Affirmative Action Employer. Women and minorities are
encouraged to apply.
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Date: Sun, Apr 20, 2014 at 2:40 AM
Subject: Assoc. Prof./Prof. in Applied Mathematics: U of Southampton
Applications are invited for an Associate Professor/Professor in
Applied Mathematics.
Be a part of the University of Southampton, an institution in the top
1% of world Universities and one of the UK?s top 15 research?intensive
universities. We have an international reputation for research,
teaching and enterprise activities.
You will be an outstanding applied mathematician with an excellent
track record of research leadership in an area which will enhance the
current interests of the Applied Mathematics group. We particularly
seek those with expertise in applied numerical or data-led modelling,
mathematics of networks, or stochastic phenomena in biology.
Outstanding candidates involved in collaborative research with, for
example, medicine, biology, engineering or industry, are also
encouraged to apply.
You will have significant experience of teaching, as well as a track
record of successful supervision of postgraduate students and
postdoctoral workers. In due course you will be expected to
contribute fully to the departmental teaching and administrative
duties.
The Applied Mathematics group is one of four groups in the
Mathematical Sciences Academic Unit. The group has strengths both in
fundamental mathematical physics and in mathematics applied to other
contemporary scientific and engineering problems. We intend to make
this appointment in the latter area. Further information on the work
of the Applied Mathematics group can be found at
Mathematical Sciences is a research---led department with an
excellent track record in high quality science, attracting funding
and establishing academic and industrial collaborations. We value
the contribution of all our members and offer a welcoming and
supportive working environment. We are committed to inclusiveness
and equality and particularly welcome applications from women who
are currently underrepresented in the group. Further information
about Mathematical Sciences at Southampton can be found at
The position is tenable from1 October 2014, or as soon as possible
thereafter.
Informal enquiries can be made at any time to Prof Nils Andersson:
The closing date for this vacancy is 2 May 2014.
Application procedure:
You should submit your completed online application form at
any assistance, please contact Charlene Tyson on +44 (0) 23 8059 6803.
Please quote reference 380814PJ on all correspondence.
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