-
of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling, numerical simulation, and mathematical analysis to investigate fundamental
-
well as scientific publication in single- and co-authorship; Participation in the bodies of PRIF’s internal administration (the language spoken in PRIF’s central administrative bodies is English). As applicant, you
-
research agenda; Ability to work interdisciplinarily; Willingness to present research to the political and general public; Willingness to participate in PRIF’s self-governance. The language spoken in PRIF’s
-
in a matrix environment. Fluent language skills in English are mandatory, German language skills is a plus. How to apply Please upload your research proposal using our submission template, complemented
-
» Mathematical physics Mathematics » Other Biological sciences » Other Researcher Profile Recognised Researcher (R2) Country Germany Application Deadline 20 Mar 2024 - 23:59 (Europe/Berlin) Type of Contract
-
Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
, or related fields. Strong background in photocatalysis. Outstanding team players who can work in a fast-paced and highly dynamic environment. Good English Skills (working language at the Institute). Our offer
-
Brandenburg University of Technology Cottbus-Senftenberg | Cottbus, Brandenburg | Germany | 3 months ago
Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The chair of IT Security in the Faculty of Mathematics
-
the bodies of PRIF’s internal administration (the language spoken in PRIF’s central administrative bodies is English). As applicant, you should fulfill the following requirements: A doctoral degree in
-
Your Profile: Master and Doctoral degree in the field of Physics, Chemistry, Mathematics, Medicine or in a related field Interest in computational and experimental methods to investigate membrane
-
background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A