58 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Technical University of Denmark in Denmark
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Job Description If your background is in machine learning (ML) and you have a desire to make discoveries in health sciences, then this position as Postdoc is your possibility. In this collaboration
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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career paths at DTU here . Further information Further information may be obtained from Prof. Wei Yan, email: weya@kemi.dtu.dk , website: https://www.kemi.dtu.dk/english/research/physical-chemistry/wei-yan
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obtained from: Professor Uffe Mortensen, E-Mail: um@bio.dtu.dk You can read more about Department of Biotechnology and Biomedicine (https://www.bioengineering.dtu.dk/) You can read more about the Department
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and engineering optical setups Experience with coherent control of quantum systems Competence in electronics design and hardware control Ability to acquire and process large datasets Enthusiasm
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related field, with a strong focus on autonomous systems. Demonstrated research expertise in one or more core areas of AI for autonomy, such as: Robot control and learning-based control; Decision-making
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research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience
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including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic
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deliverables with high standards of accuracy and clarity. Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students We are looking for candidates with: Skills in molecular biology
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer