Sort by
Refine Your Search
-
, microbiology, and clinical wound research Preparation of high-impact scientific publications, conference contributions, and participation in international research networks As postdoc, you will principally carry
-
application! Work assignments We are now looking to appoint a postdoc in Clinical Neurophysiology, formally based at the Center for Social and Affective Neuroscience. As postdoc, you will principally carry out
-
. This project is designed to maximize the productivity of the MAXPEEM equipment. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20
-
. This involves method development, large-scale computations, and simulations of complex systems where magnetism is coupled to atomic structure and atomic vibrations. As postdoc, you will principally carry out
-
postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours. Qualifications To be qualified to take employment as
-
26 Nov 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number IFM-2025-00511 Is
-
application! Work assignments You will work on epidemiological studies related to the development of immune-mediated diseases, primarily Type 1 diabetes. As postdoc, you will principally carry out research. A
-
properties, and magnon–phonon interactions using quantum mechanical methods. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20
-
application! We are now looking for a curious and driven Postdoc in Education with a specialisation in Digital Humanities who is interested in working with unique historical material and contributing to new
-
application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian Computational Mathematics for reliable and trustworthy uncertainty