Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills (e.g., Python, Matlab, Fortran or C/C
-
(Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital health technologies Excellent command of written and
-
(e.g., Python, Matlab, Fortran or C/C++) Experience in numerical solutions of differential equations and knowledge of statistics and probability are desirable Strong interest in translational
-
computing is an advantage Excellent programming skills (Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital
-
apply provided they complete their final master exam before 01.07.2026. It is a condition of employment that the master's degree has been awarded. Excellent programming skills (Python, Matlab or Julia
-
. It is a condition of employment that the master's degree has been awarded. Excellent programming skills (Python, Matlab or Julia) are a requirement. A solid background in mathematical modelling
-
Code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of new methods and perform numerical simulations Pose appropriate initial and boundary conditions for
-
competence in seismic data analysis is a requirement. Experience from or competence in computer programming (MATLAB, Python) is an advantage. Applicants must be able to work independently and in a structured
-
background in statistics is required, as well as experience in atmospheric dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate
-
or MATLAB, is a requirement. Experience with running snowpack and/or Earth System Models is a requirement. Experience in field instrumentation or other demonstration of observational data curation is an