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2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme allows scientists to carry out research with German colleagues at universities, universities of applied
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the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: https://www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate reproducible, micrometer
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
can apply for this position by submitting the following documents through the MPG postdoc program website (https://postdocprogram.mpg.de/node/21092 ): Motivation letter detailing your background, reason
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Programme? Not funded by a EU programme Reference Number LIN2025/09 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hippocampal Plasticity and Memory group
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: 2025/11/30 11:59PM (posted 2025/08/04, listed until 2026/02/04) Position Description: Apply Position Description The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute
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program), whereas postdoc position is typically for two years. The selected candidate will get the opportunity to work in a highly stimulating and collaborative international research environment and access
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 26 days ago
Assistant position, with the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will