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Assistant Professor, you will: Conduct research in the field of networked systems, focusing on distributed control, optimization, and data-driven modelling. Develop innovative methods for modelling, control
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, HBTs). Explore methods for co-design and intimate integration of electronic and photonic devices. Build a new research line focused on the performance limits of chip-based circuits with applications in
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integration and stability for converter-dominated networks, focusing on fleets of grid-forming inverters and their dynamic behavior. Develop methods to interface intermittent renewable energy sources with
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, Engineering, and Mathematics (STEM). Where to apply Website https://www.academictransfer.com/en/jobs/357365/assistant-professor-in-multiphy… Requirements Specific Requirements The ideal candidate: Holds a PhD
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, PyMOL, Chimera, etc. Interest in advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal
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areas: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. - Strong expertise with formal methods tools (e.g., theorem provers, SMT solvers, model checkers
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(model-based) systems engineering, whilst applying systems analysis techniques based on formal methods, AI, and optimisation and will be expected to submit publications to top-tier conferences and journals
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of the affected project. Application Formalization: candidates must submit their applications through a cover letter stating their reasons to apply, accompanied by a detailed Curriculum Vitae, a copy of the
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of the project. Application Formalization: candidates must submit their applications through a cover letter stating their reasons to aply, accompanied by a detailed Curriculum Vitae, a copy of the qualifications
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | about 2 months ago
learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack, Krasimira