Sort by
Refine Your Search
-
The Institute for Infection Prevention and Control (IPC, Head Prof. Dr. Philipp Henneke) is looking as soon as possible for a Bioinformatician (m/f/d, PhD) with focus on the analysis of large
-
and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology
-
talented and highly gifted candidates to apply as Doctoral Researcher (m/f/div) in Microbiome Systems Biology The positions are initially limited to four years. The Microbiome Dynamics (MBD) department
-
Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
-
-specific inflammation” and aims to develop and apply advanced imaging tools to study immune cell dynamics in murine models of inflammation and cancer. More about our work: https://www.medizin.uni-muenster.de
-
interdisciplinary team from electrical, mechanical, and chemical engineering, as well as physics and chemistry, with the intention to bring promising new 2D materials out of the laboratory and into the market-place
-
to evolve for high stereospecificity for producing valuable organic compounds. Your profile: Eligible candidates have strong skills in (bio‑)chemistry, biocatalysis, and microbial engineering and have great
-
inside compartments and use this knowledge to tailor IDPs for enhanced biocatalysis. Your profile: Eligible candidates have strong skills in molecular biology, (bio-)chemistry, and biophysics and have
-
research. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering a PhD position (m/f/d) (Position number: 21-2025 PhD PATH) in the field
-
analyses, an area in which our group has a track record of success (see recent publications below). The TARGET-AI project seeks to apply leading-edge techniques from deep learning and Bayesian modeling