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Field
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, social sciences Proven experience in scientific work and scientific writing Proven experience with empirical social research methods Proven experience with open science, science policy, open access
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this gap by combining interdisciplinary expertise from cellular to single-molecule analysis to identify, mechanistically study and exploit frameshift RNA:protein complexes (Kibe et al. Nature Struct. Mol
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innate immune responses. Our group uses a wide range of experimental methods, including multiparameter flow cytometry, single cell gene expression analysis and in vitro culture systems, including 3D human
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large scientific collaborations by applying methods from social network analysis, large language models (LLMs), and knowledge graph technologies. As part of a small, supportive research team, you’ll have
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designed to evolve toward target structures or functionalities through self-organisation. Our focus lies on modelocked lasers and complex laser–matter interactions as both model systems and experimental
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AI-based tools such as AlphaFold to generate and test new biological hypotheses on the evolutionary and molecular mechanisms of brain aging Assisting in the creation and analysis of new next-generation
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AI-based tools, such as AlphaFold, to generate and test new biological hypotheses on the evolutionary and molecular mechanisms of brain aging Assisting in the creation and analysis of new next
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molecular biology and tissue culture methods, along with next-generation sequencing (NGS) technologies, including single-cell sequencing, to interrogate transcriptional networks. A central focus of your work
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | about 2 months ago
is part of the DFG-funded project “ScaleRep: Providing a Multilingual Answer Scale Repository to the Cross-cultural Research Community.” The project aims to develop and test a repository for frequently
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
(maintenance, genetics, functional assays, microscopy) or (2) a strong background in proteomics and/or metabolomics, with experience in experimental design, data acquisition and analysis, which will contribute