Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, diversity, and inclusion, and welcomes applications from candidates of all backgrounds. We follow the HEP Theory Postdoc Accord, according to which the earliest answer deadline we may set is 30 January 2026
-
Infrastructure? No Offer Description We are looking for a PhD student or Postdoc with a background in geodesy, geophysics, geosciences or related discipline to join the Department of Geodesy and Geodynamics
-
modelling, and neuroimaging. The position provides access to high-performance computing resources, including GPUs and supercomputing clusters, for advanced simulations of cerebral blood flow and molecular
-
project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
-
and Systems Analysis is an international highly regarded academic community of more than 100 employees, with around 20 professors, 10 lecturers, 20 postdocs, and 60 doctoral candidates. Our department
-
position within a Research Infrastructure? No Offer Description Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects
-
. The Department of Mathematics and Systems Analysis is an international highly regarded academic community of more than 100 employees, with around 20 professors, 10 lecturers, 20 postdocs, and 60 doctoral
-
supervising doctoral students. Join us in shaping the future! Your role and goals Your primary task as a postdoc is to conduct research into quantum algorithms and information. You are expected to take an
-
. This position will be similar to a postdoc, but with an emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused
-
basis of adaptive plasticity and its evolution. The postdoc will take a leading role in, focusing on experimental evolution under novel and variable light environments, integrating multi-omics datasets