465 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"The-University-of-Manchester" positions in Denmark
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
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optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods
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product development across fintech, SaaS, or payment infrastructure contexts, including data-driven business models, responsible AI, and AI-assisted workflows, as well as the ability to bridge technical and
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neuromuscular research and molecular muscle biology your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research
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to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life
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in the field of citizen-state interactions, experience and expertise in psychometrics and scale development is highly valued. The planned starting date is July 1, 2026, or as soon as possible
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develop solutions. The Research Group for Genomic Epidemiology at DTU National Food Institute conducts research within evolution and ecology of infectious diseases, metagenomic analyses of a wide range of
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of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells
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are expected to have a strong background in marine hydrodynamics or related fields, along with substantial experience in code development and numerical modeling. The role requires a proactive approach
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thermodynamics and molecular interactions in formulation environments. The position contributes to the development of pharmaceutical data science, integrating computational chemistry, molecular modeling, and