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. For the project The Role of the Ocean in Earth System Stability PIK’s Research Department 1 Earth System Analysis, is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d) (Position number: 03-2026
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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redox balance. Our studies explore how p53 integrates metabolic cues by acting as both a sensor and regulator of cellular metabolism. In parallel, we are identifying metabolic changes that promote tumor
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LevelPhD or equivalent Skills/Qualifications Who you are You have a PhD, preferable in Computer Science, Engineering, Mathematics, or equivalent. You have a strong background with parallel and distributed
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systems based on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal
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. We develop and apply both experimental and computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer
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associated with biological membranes, including large peripheral membrane complexes and integral membrane transporters. In parallel with mechanistic structural work, we develop targeted chemical probes
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are conducted in parallel in close collaboration with industry, public authorities, and international partners. The successful candidate is expected to contribute to the development of the research, including
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a post doc, you will be working at Aarhus University Hospital or another hospital in
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of multiple medicines across cellular mechanisms in parallel, ensuring accelerated assessment of existing and new therapies. Improving our understanding of the cellular basis of disease will help bridge the gap