Sort by
Refine Your Search
-
Apr 2026 Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Theoretical Physics, Physics, Applied Mathematics Description Description The PhD students
-
to explain biological phenomena and disease mechanisms by leveraging biophysical theory and mechanistic, mathematical modeling. Our interests include the inflammatory responses to infection, the organization
-
(M.Sc. or equivalent) or imminent M.Sc. degree in Computer Science, Mathematics, or a closely related field research experience, evidenced by publication(s) or a relevant M.Sc. thesis, good knowledge
-
on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
-
for mathematics Experience with programming (e.g. Python, C++, CUDA etc.) Knowledge of information theory Good reasons to join: Look forward to a unique working environment on our international research campus
-
sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
-
, biophysical and bio-chemistry, theoretical chemistry and mathematics , to advance the understanding of the emergence of complexity in molecular systems. Our RTG combines science and research projects that start
-
Engineering, Information Systems, Mathematics, or a related field. Strong knowledge of software engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills
-
are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
-
. thesis supervision Requirements: university degree in Computer Science, Traffic Engineering, Computational Linguistics, Mathematics, or a related field solid knowledge in one of the relevant research areas