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Jönköping University and School of Engineering invites applications for a Lecturer in Computer Science with a focus on data science and machine learning. This position offers opportunities
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national and international networks Demonstrated ability to supervise PhD students and degree projects Experience of working with artificial intelligence, machine learning and management of large datasets
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artificial intelligence, machine learning and management of large datasets Interest and insights regarding developments of teaching within the field, as well as experience in course development in mechanical
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are looking for a candidate with a background in machine learning or data science and strong software engineering skills. The Ph.D. position is a part of the strategic research area in IT and mobile
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
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analysis. The research group focuses on the neural mechanisms of associative learning and cerebellar function. The group is led by associate professor Anders Rasmussen, and currently has 1 PhD student, 1
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). For more information: https://www.cordis.europa.eu/project/id/101225380 Research focus The PhD candidate will work on one or more of the following interconnected areas: AI‑ and machine‑learning‑based
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, which employs approximately 60 people, including 9 professors. The department also houses Electrical Engineering, Industrial Engineering and Management, and Physics. We offer PhD programmes in materials
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-scale data analysis. The research group focuses on the neural mechanisms of associative learning and cerebellar function. The group is led by associate professor Anders Rasmussen, and currently has 1 PhD
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organismal fitness, using MOO techniques, machine learning and genome-wide association studies. Yeast and bacteria are your primary models, but the analytical framework you develop will be broadly applicable