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Field
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and administrative staff Lead in cutting-edge scientific projects and work in advanced physics laboratories An initial 24-month contract with the possibility of a one-year extension Salary according
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hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an
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evaluation and presentation, preparation of reports and scientific publications Good communication and information behaviour Goal-oriented and structured way of working Initiative / commitment Willingness
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 1 month ago
administrative staff Lead in cutting-edge scientific projects and work in advanced physics laboratories An initial 24-month contract with the possibility of one-year extension Salary according to TVöD (Federal
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the integration of large-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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the newly established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics. (Please find a German version below the English text.) The Chair of Decision
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and talented optics engineer to design, build, and implement novel optical devices for brain-wide imaging and neural circuit manipulation. Key Responsibilities: Develop advanced optical systems
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integration system for the syngas-fermenting bacterium Clostridium ljungdahlii, Biotechnol. Biofuels 12:112 What you will do Cloning and construction of expression systems Metabolic flux analysis for pathway
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multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets