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- Ludwig-Maximilians-Universität München •
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Field
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include: - Extension to radio and optical diagnostics to test different interaction scenarios - Extension to low mass binary interactions at optical wavelengths - Development of empirically motivated models
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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crane to monitor water status Have an interest in applying mechanistic growth models in collaboration with the STEMCELL Postdoc Measuring high-resolution stem growth with dendrometers and xylogenesis
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
–metabolic crosstalk, with a primary interest in autoimmune type 1 diabetes as a model disease, while also addressing type 2 diabetes and obesity. We aim to uncover how Treg specialization and dysfunction
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Research Schools offer an outstanding environment for doctoral researchers in computer science and digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs
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projects address complex systems where data-driven models can accelerate discovery and decision-making. Environmental Sciences — IDEAS tackles questions shaped by spatio-temporal dynamics, changing
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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strives to offer a best-practice model of doctoral education. This includes a balanced curriculum, innovative teaching methods and the personal engagement of all involved advisers, international cooperative
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. The following typical research topics serve as interdisciplinary links between the various fields of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception
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; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal with high-dimensional, often noisy, data sets; and mathematical modelling