50 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Technical University of Denmark
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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and
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enhance machine learning performance; novel chip design strategies prioritizing efficiency and cost; verification of digital designs; advancements in electronic design automation (EDA), especially for AI
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knowledge of process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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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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may be obtained from Professor Jacob Ladenburg, jlad@dtu.dk :, Phone 45 42493610 https://orbit.dtu.dk/en/persons/jacob-ladenburg/ . You can read more about the Department of Technology, Management and
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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 Academic Diplomas
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commensurate with career stage and the ability to formulate and execute an independent research agenda Teaching potential: Ability and motivation to teach, supervise, and contribute to course development