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by nature?s most powerful resource: water. For the Institute of Metallic Biomaterials, Helmholtz-Zentrum Hereon for February 1st 2026 we are looking for a Postdoctoral Researcher - Automated
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) / E13 Founded in 1817, the Senckenberg Research Institute and Natural History Museum in Frankfurt am Main is one of the world’s leading research institutions in the field of biodiversity and Earth System
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between various human and nonhuman actors: relationships between grandparents and grandchildren living apart. We will specifically focus on remote activities that revolve around nature - birds, plants
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-soluble and water-dispersible polymers (WS/DPs). These polymers are widely used in home care and cosmetic products and enter both engineered systems (wastewater treatment plants) and natural aquatic and
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of importance for changes in effective populations sizes and genetic diversity patterns. Qualifications Ideally you have a PhD in natural sciences with a strong research background and several years of work
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converted into electrical signals. We identify and characterize the molecular components involved in this transduction process using state-of-the-art molecular biology, electrophysiology, and biophysical
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? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop new enzymatic processes operating under mild reaction conditions to
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Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop new catalysts (heterogeneous catalysts) and catalytic processes
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Linguistics, Natural Language Processing, or a closely related field or PhD near completion in Computational Linguistics, Natural Language Processing, or a closely related field* Demonstrated experience with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with