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investigate the structure and function of Antarctic microbial communities involved in the degradation of organic matter in iron-rich marine sediments and, consequently, in elemental cycles within marine
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-induced changes in community composition, biomass, and elemental stoichiometry. Communities will then be split into two sub-experiments: E2a isolates 5–10 species (control and +6°C) to determine thermal
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CFD simulations, led to a shift from performance towards efficiency, defined more precisely as minimisation of computer resources required for a given simulation. Concomitantly, the objective
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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are held in English (100%). Full-time / part-time full-time Mode of study Fully on-site with voluntary online elements Programme duration 9 semesters or more Beginning Only for doctoral programmes: any time
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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combining elements of its contributing sciences to solve challenging problems in a data-based, empirical approach. The PhD programme in Data Science (PDS) targets PhD students that work in data science in a
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support: close mentoring by fellows from academia and industry, stipends for conference travel, etc. Additional support is offered by the GraduateCenter . International elements Projects with partners in
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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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