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Field
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to deal with making implementation decisions in their daily activities as asset manager, investor, construction manager or area developer. Transitions should therefore not be governed in isolation but
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facilities and software packages; be able to act as advisor and expert consultant in areas such as laser systems, materials preparation & characterization and ultra-high vacuum technology; be responsible
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cleanroom facility situated in the neighboring NWO-institute AMOLF; develop deep-rooted expertise with and maintenance of WZI’s research facilities and software packages; be able to act as advisor and expert
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. At the intersection of different sub-fields (applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical
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(applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical skills and personal interests
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closely with the other FIND fellows and industrial partners; Disseminate results via publications, open-source software, and presentations; Assist in relevant teaching activities. Selection Criteria MSc
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and
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neurodegenerative disease where malformations or breakdown of connectivity is key. We have a strong methods development component and develop hardware and software technology needed to answer basic and applied
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interests. Beyond membership of the FoRECAST team, you’ll join the Software Technology group led by Gabriele Keller. As our research group contains core members of the popular Accelerate and Stan DSLs
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. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision