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Field
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master's), i.e., supervision
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Investigator (PI) or team lead with project management tasks. Job Requirements: PhD degree in Optimization, Artificial Intelligence, Transportation or Aerospace. Evidence of developing Machine Learning and
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genomic approach to profile enhancer dependencies. Develop and optimize experimental workflows integrating scRNA-seq, scATAC-seq, and other single-cell omics. Interpret high-dimensional data in
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2nd September 2025 Languages English Norsk Bokmål English English Faculty of Biosciences, Fisheries and Economics PhD Fellow in Impact of Temperature on Embryonic Development of the stress axis in
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atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental excitonic effects Record, manage, and store collected data in
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will develop a novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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hardware technologies. Conduct hardware performance evaluations (e.g. area, power, efficiency). Develop software strategies for communication-aware task scheduling and runtime optimization. Explore low-power