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validation of linear-scaling electronic-structure and optical-response methods. This includes the advancement and use of efficient algorithms, benchmarking against established approaches, and application
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
well as chemical exposures Establish and apply imaging mass spectrometry approaches for spatial metabolomics and spatial exposomics in different tissues Link molecular distribution patterns with tissue morphology
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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of biologically active effectors with potential theurapeutic potential. Dipeptides exhibit organ-specific distribution patterns across tissues. Dipeptide-based therapies are particularly attractive due
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microstructures. The objective is to create a multilayer coating with a graded particle size distribution, thereby establishing the prerequisites for the subsequent deposition of a dense electrolyte layer. Planning
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) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial
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components that were traditionally not imagined as computational nodes. To harness this opportunity, a research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges