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Field
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for three professional references, and a brief description of your research background. Education Requirement: PhD in computer science, mathematics, or statistics. Required Qualifications: Strong record
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: Avancez – forward. Chalmers University of Technology conducts research and education in engineering sciences, architecture, mathematical sciences, natural and nautical sciences, working in close
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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valorisation activities. Eligibility criteria We welcome applicants with a PhD in Electrical Engineering, Computer Science, Scientific Computing, Computational Engineering, Applied Mathematics, or a related
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dedicate themselves to advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD degree in Computer Science or Applied Mathematics Strong publication track record in
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(Computational Physics, Computational Chemistry, Applied Mathematics) Strong publication track record in relevant research areas Core Technical Skills (Computer Science Focus) Strong experience in Machine Learning
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immersive environments. You will be embedded within the Interactive Intelligence Group in the Department of Intelligent Systems at the Faculty of Electrical Engineering, Mathematics and Computer
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering