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Field
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the robot to improve over time by gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as
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. Our group is fascinated by one of biology’s deepest questions: how does development—the process by which genes and environments build organisms—shape the potential for populations to evolve? We study
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master's level degree corresponding to at least 240 higher education credits in a relevant field. Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any
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field. • Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any corresponding Msc. • Knowledge of fluid mechanics. • Experience with
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infection. The influence of the physical and chemical properties of these scaffolds on osteogenic cell behaviour will be systematically investigated. This approach is expected to provide insights
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must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising services. Submit your application through Uppsala University’s recruitment system.
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system modelling. Solid knowledge in mathematics, physics, thermodynamics, energy technology, optimization, and programming for system modelling, with experience in tools such as Matlab, or Python
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the NEST project partner groups of Johan Elf and Magda Bienko . Requirements To meet the entry requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics
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thermodynamics, energy technology, or systems modelling. Solid knowledge in mathematics, physics, thermodynamics, energy technology, optimization, and programming for system modelling, with experience in tools
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salary plus allowances package according to the Marie Skłodowska-Curie / Innovative Training Networks rules. Selection process Have not been awarded a doctoral degree. Researchers who have successfully