89 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions in Denmark
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machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
synthesis, robotics, digital twins, and machine learning, CAPeX is redefining how new P2X materials are discovered and developed. Commitment to Diversity We value diversity and encourage applications from
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. Your competencies Applicants must have a strong technical background, ideally in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field
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perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported Collaborate Work (CSCW), Human-Computer Interaction (HCI), Participatory Design, and Artificial
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, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply advanced analytical approaches, including deep learning and machine learning, to
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The Center for Polariton-driven Light-Matter Interactions (POLIMA) at The Mads Clausen Institute , University of Southern Denmark, is seeking a talented and highly motivated PhD student to work on
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which you will be automatically redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Are you interested in using machine learning to
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of up to 2 years. The place of employment will be in Odense. Research profiles and tasks We are looking for a candidate with a background in computational social sciences, machine learning or data
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intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types of materials are fed into