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, neuroscience, biomedical sciences, or a related field A keen interest in neurophysiology, epidemiology, and the neuroscience of neurological and psychiatric conditions Solid experience in experimental research
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the consistent further development of its profile-forming priority research areas Molecular Cell Biology, Neurosciences, Cardiovascular Medicine and Oncology. With its German Centers for Health Research partner
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, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
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the consistent further development of its profile-forming priority research areas Molecular Cell Biology, Neurosciences, Cardiovascular Medicine and Oncology. With its German Centers for Health Research partner
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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to theorizing about the evolution of common ground, one of the central research topics of the Collaborative Research Center in which this project is embedded. We will explore the implied cognitive complexity
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(social sciences, political science, economics etc.) Desirable: - good knowledge of quantitative tools of empirical social science research. - experience in academic work; - knolwegde of university
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11.07.2025 Application deadline: 04.08.2025 The following position is available in the newly established Collaborative Research Center 1718 “Common Ground: Cognition – Grammar – Communication
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. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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Max Planck Institute for Plant Breeding Research, Köln | Koln, Nordrhein Westfalen | Germany | 2 days ago
-on experience with flow cytometry and cell sorting Knowledge of quantitative cell analysis and high-speed cell sorting including the analysis of flow cytometry data Experience in single cell biology and