47 assistant-and-professor-and-computer-and-science-and-data Postdoctoral positions at Nature Careers in Germany
Sort by
Refine Your Search
-
research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
-
To strengthen our team in the division “Technical Properties of Polymeric Materials” in Berlin-Steglitz, starting as soon as possible, we are looking for a Postdoc /Research assistant (m/f/d) in
-
evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
-
), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological
-
metabolic disorders. Backed by a prestigious ERC Proof of Concept Grant, we are now looking for a Researcher or Postdoc (f/m/x) with a background in engineering or physics – and the ambition to help shape
-
division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
-
skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in interdisciplinary research and collaboration with experimental groups. PhD
-
engineering, or a related discipline, with a clear and demonstrated focus on diabetes research. Experience with iPSC models and data analysis: Hands-on experience with induced pluripotent stem cell (iPSC
-
of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
-
combining experimental and computational approaches to: Characterize the evolution of cis-regulatory networks across primate brain development using novel single-cell omics methods Apply deep learning models