50 condition-monitoring-machine-learning-"Multiple" Postdoctoral positions at Nature Careers in Germany
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production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold conditions are particularly vulnerable, as their
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microbiological assays Analyze infection dynamics and monitor phage resistance evolution Characterize therapeutic phage combinations in preclinical models (including animal experiments abroad) Collaborate on novel
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Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
, to understand the molecular mechanisms underlying these conditions, and to derive potential targeted treatment options (precision medicine). What we offer: A dynamic, international and interdisciplinary working
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
apply machine learning/AI methods for ecological analyses Expedition experience Further Information The AWI is characterized by The AWI is characterized by our scientific success - excellent research
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supported by an external team of deep-learning experts. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
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the environment. However, our understanding of how climate change will influence these pathogens remains limited. This project will explore how changing environmental conditions impact the evolution, behaviour, and
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Build large-scale AI to map and monitor plankton biodiversity, ecosystem health and carbon flux, facilitating decision‑making in the face of climate change. Hosted at the Max Delbrück Center