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Field
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regarding efficiency and selectivity, kinetic aspects. The postdoc will work closely together with a PhD student working on a related subject. The aim of the position is for the successful candidate
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manage large datasets. • Perform bioinformatics analyses using appropriate tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub
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informal exchange of information. Qualifications Master's degree or PhD or equivalent relevant experience in the field of Theoretical or Experimental Physics or Software Engineering or Computer Science or a
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: Holders of a Master's degree in Mechanical Engineering or related areas who are PhD students in Sustainable Product and Process Engineering. . DURATION: 12 months, eventually renewable. The fellowship is
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in the development, validation, and optimization of 3D-printed Ship Hull and Connector System. This includes conducting finite element modeling, ship resistance and stability assessments, as
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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data
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UiO/Anders Lien snarest språk English English English PhD Research Fellow in reinforcement learning for generative systems in physics at the INTED Center søk stillingen se annonse About the position
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to project implementation details. Job Requirements PhD degree in engineering (e.g. Mechanical, Clean/Renewable Energy or Building related) or sustainable buildings design. Experience in sustainable design
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Research Fellow to join our multidisciplinary team in advancing composite materials for additive manufacturing (AM). The successful candidate will explore and optimize a broad spectrum of functional material
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do: Design, fabricate, characterize, and optimize electrochemical biosensing technologies for real-time detection. Develop and implement novel surface chemistries to improve sensor performance