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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real
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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate
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supply, cooling, or shielding/activation. Proficiency in neutronics codes (OpenMC, MCNP, Serpent) or thermo-mechanical tools (ANSYS, COMSOL); or capacity for rapid learning. Ability to maintain disciplined
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systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
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results at conferences, Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students You must have a PhD in macro-energy system modelling or a similar field. Strong coding skills
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experience in developing software for processing SURE and ULM data Have a desire to advance the field and help PhD students learn We offer DTU is a leading technical university globally recognized
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Job Description The postdoc will focus on gaining new insight into how we can use solid earth deformation from permanent GNSS stations in Greenland to learn more about climate change. The research
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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD
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regional crisis both in terms of abundance, diversity, and biomass. Importantly, insects form a natural treasure chest for studying animal development, learning, and behaviour, controlled by receptors