The
Prof. David Waxman
David Waxman carries out research in quantitative biology. From 1985 to 2011 he was at the University of Sussex (UK), first in the Department of Physics, and then in the Department of Biology. Since 2011 he has been working full time in
Professor Waxman’s research typically concerns models involving randomness and stochasticity. He has wide interests, and most
recently has been working on the stochastic dynamics of genes in biological populations.
For examples of recent work see：
Influence of Dominance and Drift on Lethal Mutations in Human Populations
D Waxman and A D J Overall
Frontiers in Genetics, 11: 267 (2020)
https://www.frontiersin.org/articles/10.3389/fgene.2020.00267/full
Sub-or supercritical transmissibilities in a finite disease outbreak: Symmetry in outbreak
properties of a disease conditioned on extinction
D Waxman, P Nouvellet
Journal of theoretical biology 467, 80-86 (2019)
What is adaptation and how should it be measured?
J R Peck, D Waxman
Journal of theoretical biology 447, 190-198 (2018)
Corrected simulations for one-dimensional diffusion processes with naturally occurring
boundaries
H Shafiey, X Gan, D Waxman
Physical Review E 96 (5), 053310 (2017)
Preferred Experience and Skills
Applicants for a postdoctoral position should have good quantitative skills and interests in biological systems. They can come from a variety of different disciplines including physics, mathematics, computing, economics and biology.
Job Benefits
• Additional research funding up to £24k will be provided to support researchers with exceptional ideas and the capability to run independent projects.
• Opportunities to top-up salaries up to £11k/year with grants from Shanghai Government.
• Opportunities to visit collaborating labs at the University of Oxford, University of Cambridge, University of Sydney or Harvard University.
• Opportunities to transfer to faculty position with a start-up fund of £58k~116k.
• In accordance with the policies of Fudan University, assistance will be provided to candidates with children to apply for admission into kindergarten or primary schools affiliated with Fudan University.
Application Procedure
Interested applicants should send their CV, contact information of two referees, and a short personal statement describing their relevant background, reasons behind their interest in the above-described position, and future goals to Prof. David Waxman at dwaxman.biology@gmail.com; Successful candidates will be invited for an online or an on-site interview at ISTBI,
ISTBI
The
ISTBI covers several research fields including applied mathematics, statistics, computer science, informatics and neuroscience. The research carried out in ISTBI is interdisciplinary per se, with computational neuroscience playing a pivotal role.
ISTBI aims to make significant contributions in the development of basic theories, core algorithms and key frameworks for artificial intelligence. It also has the aims of developing intelligent diagnosis systems for brain diseases, and establishing principles of cognitive neuroscience. Ultimately, ISTBI will contribute to the innovation and the development of an intelligence-oriented society.
For more information about the institute please visit: https://istbi.fudan.edu.cn/
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