101 processor "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, materials science, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc1/ DC2: Synthesis and Transport Studies of Magnesium-Based Thermoelectric Materials Host
-
/ Postdoctoral-fellow (m/f/d) in the Excellence Cluster Synthimmune Our department (head: Prof. Dr. Adelheid Cerwenka;(https://www.umm.uni heidelberg.de/immunbiochemie/) focuses on the research of (innate) immune
-
offers the chance to obtain further academic qualification (usually PhD). Tasks: The Chair of "Physics of Quantum Materials" (https://tu-dresden.de/mn/physik/ifmp/pdqm ) is seeking a motivated researcher
-
offers the chance to obtain further academic qualification (usually PhD). Tasks: The Chair of "Physics of Quantum Materials" (https://tu-dresden.de/mn/physik/ifmp/pdqm ) is seeking a motivated researcher
-
with the University of Hohenheim and Senckenberg - Leibniz Institution for Biodiversity and Earth System Research (https://www.terra-cluster.org ). TERRA will develop an integrated understanding of how
-
The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
-
). The University of Duisburg-Essen aims to promote the diversity of its members (https://www.uni-due.de/diversity/en/). It strives to increase the proportion of women in its academic staff and therefore strongly
-
to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers two full-time project positions in the context
-
with a certified serious disability and those of equal status are particularly welcome. Qualified candidates are asked to apply via the Appointment Portal of the University of Bonn (https
-
science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning