Sort by
Refine Your Search
-
of creative breakthrough." The methodology combines detailed case studies, comparative pattern analyses, and quantitative data evaluation with interdisciplinary perspectives from medicine, biology, chemistry
-
offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training
-
scientific workshops, transferable skill courses, and career development activities To apply, candidates should hold (or expect to hold prior to the start of their PhD) a M.Sc. (or an equivalent degree) in
-
Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
-
Parasitology, Biophysics to Social and Computational Sciences and Health Economics. Please check our Webpage (link below) for further information about the PhD projects and required backgrounds. Our 9 projects
-
extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR
-
Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
-
Financing yes Type of Position Full PhD Working Language German English Required Degree Master Areas of study Husbandry, Agricultural Science, Geosciences, Environmental Science, Nature Conservation
-
and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
-
Description We welcome applications via our website from 25 August - 07 October 2025. The International Max Planck Research School for Molecules of Life (IMPRS-ML) offers fully funded PhD student