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Learning Section . Our Research Our research focuses broadly on theoretical and applied topics within privacy and robustness of machine learning algorithms. Your job The hired candidate is expected to both
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enable the development of fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems. Within NQCP we are currently pursuing several
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the Department of Immunology and Microbiology, Faculty of Health and Medical Sciences. This role involves developing and applying advanced bioinformatics algorithms to investigate the functional diversity
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
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Physics 1 (CMP1) (schedule A) 70 hours Scientific Computing (schedule C) 80 hours Block 2: Applied Statistics – from Data to Results (schedule B) 100 hours Tasks The tasks of the TAs may vary from course
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transcripts of records (Both bachelor’s and master’s degree). Time schedule. Other information for consideration, e.g. list of publications, documentation of Danish/Scandinavian and English