33 deep-learning-phd Postdoctoral positions at Chalmers University of Technology in Sweden
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The Department of Physics at Chalmers University of Technology invites applications for a postdoc position targeting machine learning in optics. In this position, you will become part of a
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In this position you will be a leading member of an exciting research group in AI-based software engineering. You will conduct original research, co-supervise doctoral students, teach, and
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Excellence Centre (2024-2029) aimed at realizing breakthroughs in integrated photonics. You will thus be part of a team of PhD students and postdocs in a constellation of local theoretical and experimental
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collaboration with others, and to coach PhD students. You will be expected to develop your skills, the team, and contribute with your creative ideas. We value a collaborative attitude and an interest in working
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, and data analysis. Communicates effectively in English, both orally and in writing. Is motivated, collaborative, detail-oriented, and curious to learn. Is interested in mentoring or collaborating with
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provides professional education nationally and internationally, supporting lifelong learning. M2 strives for close collaboration between academia, industry, and society, focusing strongly on practical
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intelligence, machine learning, data science, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine
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: S. Aalto). In the project we use multi-wavelength techniques, including recently developed mm and submm observational methods, to reach into the dark hearts of dusty galaxies. New machine learning
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to supervise master’s and/or PhD students to a certain extent. Contract terms The position is a temporary full-time employment for two years. The position requires physical presence throughout the entire
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well as be connected to and work on the ISO 24247 digital twins standardization effort Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s