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hardware is developed in cooperation with Heidelberg university. Data analysis, writing and publishing research articles, and presenting at topical conferences/workshops are an integral part of this project
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-based spatio-temporal interpolation methods • Geophysical interpretation and analysis of the results and impact assessment of past and projected future changes along the coast • Literature research
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
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(HARMONY). The selected candidate is expected to review existing literature, conduct focus groups with young adult social media users, and contribute to an analysis of health-related media content targeted
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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. • Collaborate with project partners. • Contribute to the preparation and analysis of data for publication and presentations. The following qualifications will be of advantage but are not stringently required
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motivated PhD students to strengthen our interactive and collaborative team. The projects are founded on the well-established and highly visible track record of the laboratory in the analysis of plant growth
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tracking T cell tissue entry and exit over time in matched organs by single-cell chimerism analysis. Using multimodal state-of-the-art technologies and specialized high-throughput cell culture methodologies
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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle