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analysis, and infrared thermography. Industry-wise, the focus is on cooperation with companies from the automotive, aeronautic, and energy sectors. Our main location is in Garching near Munich. YOUR TASKS
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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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competitive analysis, market landscape overview, and positioning for subsequent fundraising and go-to-market activities. • Lead the acquisition of future funding in close collaboration with the fundraising team
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robotic sample retrieval system that will be able to obtain surface swabbing samples of critical infrastructure buildings for chemical or biological analysis. The cohort of PhD students are spread around
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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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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immunomodulatory factors (de Almeida et al. Sci Immunol 2022, Chao et al. Nat Immunol 2023, Soll et. al Nat Immunol 2024). We use novel cutting-edge technologies in the area of high-dimensional single-cell analysis
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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