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start: Structured induction • Healthy at work: Numerous health promotion offers, free membership in UKBfit • Employer benefits: preferential offers for employees (corporate benefits) The University
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of results in scientific journals Requirements: PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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background in Statistical Mechanics and to mostly focus on analytical work and the development of novel quantitative methods for active matter, and to a lesser extent, on computer simulations of active fluids
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using confocal and intravital microscopy. The European Institute for Molecular Imaging (EIMI) is an interdisciplinary institute within the University of Münster developing imaging methods allowing
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planning, execution, and analysis of comprehensive experiments in the field of translational hematology/oncology Application and further development of state-of-the-art molecular biology methods, including
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supportive workplace Your activities and responsibilities: Conduct a translational research project in the field of tumor immunology Apply and further develop cellular and molecular biology methods Work with
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these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation
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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq