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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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new generation of Doctoral Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together leading universities, research
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the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You
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vulnerable citizens. You will be part of a dynamic, interdisciplinary research setting at one of Europe’s leading technical universities. DTU is committed to innovation, societal impact, and diversity
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, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming (e.g. C++, Python, Matlab
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experiments and analysing data. Design and perform cultivation in bioreactors. Writing peer-reviewed scientific publications. Actively interacting and collaborating with other partners involved in the project
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of building blocks for non-covalent assembly supramolecular polymers. Your work would include: the design, organic synthesis and characterisation of monomeric molecular building blocks; enzymatic synthesis and
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reproducibility and facilitate future research. Qualifications: A successful candidate will be able to demonstrate some, or all, of the following skills: Proven practical experience with electron-beam lithography
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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit