417 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Denmark
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to answer questions around seed longevity, seed development, dormancy and germination in response to abiotic stresses. We expect that you will be an important part of the research environment and that
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publications and conference presentations, and contribution to the continued development of clinical workflows using user-operated audiometry. Expectations of qualifications Candidates must hold a PhD degree
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collaboration with our team. You will: Develop ML methods to handle conditional data generation mechanism in the development pipeline, and for optimization and simulation Develop ML methods for uncertainty
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create novel methods and technologies as a foundation for development of new environmentally friendly products, better and less energy consuming manufacturing processes, development of sustainable novel
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to engage in independent research and is encouraged to establish a research group based on external funding. Moreover, teaching classes (both existing or development of new) in our educational programs
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, enthusiasm for technology and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development. The group
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this knowledge to suggest new ways to optimise catalytic reactions. Overall, you will contribute to the development of AI-enhanced autonomous workflows for interface. These implementations will be general and will
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ammonia quantification. Some specific tasks during the projects are: Benchmark the applicant/setup on Li-mediated ammonia synthesis in inert atmosphere Aluminium-mediated ammonia synthesis development
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responsibilities As Professor of advanced arrhythmia management, you will have joint responsibility for the development of the department's research and teaching environment, and you will contribute
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, 2026, or soon hereafter. The position is a full-time position for 1 year. Your work tasks The research will focus on the development of digital twin models for heating networks, real-time simulation, and