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role You will work in an international team to develop computational methods that are designed to investigate the effects of rare variants and apply them in large cohort studies. This project builds
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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https://www.bcp.fu-berlin.de/chemie/chemie/forschung/PhysTheoChem/agheinke/index.html The Heinke group deals with novel functional materials, in particular with thin films of nanoporous metal
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. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13. This is a part-time position with a weekly working time of 30 hours per week. Key responsibilities: PIK
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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contribute significantly to the preservation of the function and protection of the ocean for future generations. We are seeking a skilled and motivated post-doctoral researcher who will work in ecology -based
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derived from the host, the diet or the microbiome shape the biology and metabolism of tissue-resident immune cells (e.g. T cells, innate lymphoid cells (ILC)) in health and disease. In particular the work
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position can be filled on a part-time basis with a minimum of 25 hours per week. The Earth Resilience Science Unit serves as a bridge group between PIK and the Max Planck Institute of Geoanthropology (MPI
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. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome