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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 13 days ago
"Decoding cellular signaling in Photosymbiosis" (m/f/d/x) Background Photosymbioses between heterotrophic host and phototrophic endosymbionts have played central roles in the radiation of complex life and are
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of high-fidelity non-linear simulators for complex systems, ideally in AOCS/GNC Expertise in frequency-domain control system design and analysis using advanced control techniques: robust controller
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field. Excellent written and oral communication skills. Strong leadership skills and potential to mentor graduate and undergraduate students. Experience with management and analysis of complex datasets
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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time of appointment. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES
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and regions involved in protein interactions. In recent years, the field has moved from the analysis of purified complexes to proteome-wide studies thanks to fundamental instrumental and bioinformatic
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collaboration with industry at both national and international levels, with applications in the transport and manufacturing sectors. Work tasks mainly consist of research, data collection and analysis, writing
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conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis
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workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real