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Field
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contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
If your goal is to lead groundbreaking research and make a real-world impact, DTU Biosustain offers the perfect launchpad. Join us and redefine what’s possible in sustainable science and innovation
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
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, cross-disciplinary theory development, and improved STEM student engagement in entrepreneurship and innovation, towards a strengthened global talent pipeline for STEM-based start-ups. The successful
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assistant is a fixed-term scientific position of 6 months. If you have hands-on experience with analytical chemistry and laboratory techniques and experience with troubleshooting, optimization of laboratory
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, machine learning and data analytics, multi-objective optimization, life cycle assessment (LCA), serious gaming, and other participatory research methodologies. Candidates should also demonstrate leadership
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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large-scale MD simulations, ideally with LAMMPS, demonstrated via corresponding roles in publications Experience with density functional theory (DFT) calculations, ideally with VASP, demonstrated via
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characterize target workloads for the FNS 6G initiative (e.g., data analytics pipelines, network functions virtualization, data‑plane acceleration).- Investigate what techniques and abstractions are most