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interactive multinational and multidisciplinary teamcovering expertise in molecular biology, cell biology, neuroscience, regeneration biology, mathematical modelling, and robotics. The fundamental questions
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system The successful candidate will collaborate closely with Dr. Mc Keown and a PhD student to run experiments of CO2 and water sublimation under low pressure conditions, as well as develop 3D topographic
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Essential Criteria: Qualifications A good first degree in Computer Science, Machine Learning, Maths and Statistics, Robotics or a related subject. A PhD (or an MSc with extensive research experience) in
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, Python, and R. The candidate should have a strong capacity to understand processes underlying pro-environmental behaviour from different perspectives, enabling them to simultaneously understand, use, and
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software solutions together with end users such as Universal Robots, Terma, LEGO, Danfoss, and Novo Nordisk. The Postdoc position aims to focus on securing automotive systems with a focus on battery
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academic and industrial partners. We solve challenging research problems from real applications and implement novel software solutions together with end users such as Universal Robots, Terma, LEGO, Danfoss
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and