Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Northeastern University
- Rutgers University
- UNIVERSITY OF HELSINKI
- Aarhus University
- Argonne
- Centre for Genomic Regulation
- East Carolina University
- Jagiellonian University
- KINGS COLLEGE LONDON
- MASARYK UNIVERSITY
- Mississippi State University
- Stanford University
- Swedish University of Agricultural Sciences
- University of California Berkeley
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oxford
- University of South Bohemia
- 9 more »
- « less
-
Field
-
application of dynamic mathematical modelling approaches to simulate the spread of infectious agents in human populations. The Unit coordinates the Interdisciplinary Center of Mathematical Modelling
-
Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
-
of development stochastic models that explain the population behaviour of immune cells subject to controlled stimulation, you will collaborate in research that seeks to explain the weak inheritance features
-
both mathematics and statistics and is highly research oriented. Additional information about the department may be found at https://www.math.msstate.edu . Requirements for a postdoctoral position
-
programming You have experience with modeling, statistical analysis and/or machine learning Experience with DNA- or RNA-sequencing data analysis is a plus Education and training You hold a PhD degree in
-
, methods to neural population dynamic data manuscript preparation presenting research at lab meetings and scientific conferences contributing to grant proposals mentoring students Lab: https
-
, particularly R01EY033829 (Optimizing genetic risk models for primary open-angle glaucoma through expanded population genomic analysis). Duties include: hypothesis development, literature review, collection
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
-
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
-
facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical