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developing and maturing high-risk, high-reward avionics solutions. Job description As part of the specialized resource pool, you will provide avionics engineering expertise across multiple space research
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how well reported dynamics of decline in rare plant species align with inferred trajectories of effective population size. Conversely, the project will also address whether habitat and species
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the fellowship, research focus, and how the opportunity aligns with your long-term career plan. Curriculum Vitae (maximum 2 pages): Highlight relevant clinical training, academic experience, and language
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, we plan to study atmosphere/ocean interactions at multiple spatial resolutions, and investigate consequences for tropical cyclones, clouds and precipitation and how they depend on spatial resolution
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(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel
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CV detailing your academic background and a research experience, a short (max. 1-page) statement summarizing your scientific interests and how they align with the research vision of our group, a
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of gas sensor devices, both in the lab and in the field. Applicants are encouraged to explore and benchmark multiple deposition routes (including flame aerosol deposition, aerosol jet printing, inkjet
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complex prediction, as well as the Protein Universe Atlas, an interactive web resource for exploring the vast landscape of publicly available protein sequence and structure data. We also organise community
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to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify how well reported dynamics of decline in rare plant species align with inferred trajectories
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of complex cellular systems across multiple biological scales. Project background Cells are mechanically heterogeneous systems composed of proteins, membranes, and compartments with distinct physical