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, various cutting-edge experimental and computational approaches in the areas of functional genomics, cell biology, biochemistry, single-cell/spatial multi-omics, data mining, drug screening, and disease
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array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The advertised position is part of the newly founded division 4.2 ‘Material
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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across diverse scientific data modalities such as structured databases, ontologies, and unstructured text. The goal is to enable automated hypothesis generation and obtain scientific insights, with
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
are already working towards an early start of deep-sea mining, there is still an urgent need for research on the associated environmental impacts. In the JPI-Oceans project MiningImpact, the Deep-Sea
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questions about the application process, please get in touch with our recruiting team at our phone number +49 (0) 331-6264-28787. This research center is part of the Helmholtz Association of German Research
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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drainage, cultivation, and mining. As these areas constitute major sources of carbon dioxide emissions, accurate mapping is crucial for their effective restoration and management. Peatlands are highly