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., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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research at the interface between biophysics, biomedicine, and computer science Simulate molecular dynamics of ion channels Predict variant-specific protein structures using AlphaFold Co-develop machine
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(e.g., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website
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University of Luxembourg, Faculty of Science, Technology and Medicine (FSTM) Position ID: FSTM -PHDGRACE [#24824, UOL06572] Position Title: Position Type: Other Position Location: Luxembourg, Esch
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group