151 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at Technical University of Denmark
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Tech is seeking a knowledgeable and motivated part-time lecturer to teach and guide students in 22179 Module 3: Value creation in pharma- and biotechnology. The course focuses on how new discoveries and
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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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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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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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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here
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about DTU Aqua at https://www.aqua.dtu.dk/ ; and the section for Fish and Shellfish diseases here: https://www.aqua.dtu.dk/english/research/fish-and-shellfish-diseases If you are applying from abroad, you
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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