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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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of Information Technology. We investigate and develop methods, theories, and technologies for digitalized data and the information centric society. Strong mathematical, algorithmic, and computational thinking and
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, PyTorch, Keras, scikit-learn) and strong understanding of machine learning algorithms, deep learning architectures, and statistical methods Good skills in extraction of data from structured/unstructured
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experimental materials synthesis, characterisation or both, and optionally, with experience developing algorithms for accelerated discovery based on data collection from automated instruments. Practical
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curriculum vitae (including major research funding obtained, research leadership, list of supervised PhDs and postdocs, number of peer-reviewed articles, H-index, total citations and the database used, e.g
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of supervised PhDs and postdocs, number of peer-reviewed articles, H-index, total citations and the database used, e.g. Web of Science or Google Scholar) (maximum 10 pages) APPENDIX 2: Complete list
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in superconducting qubits with millikelvin feedback Did you have a stellar postdoc in circuit quantum electrodynamics (cQED) and are now looking into a step up in your career while breaking records in
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experience during their PhD and postdoc periods. The selected group leaders are expected to initiate a new independent research program in one of FIMM’s research fields. Background FIMM is a leading molecular