10 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Linköping University in Sweden
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research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or relevant) and needs to be passionate about research. Experience in usage Gaussian, ADF, Dalton, ORCA etc
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into consideration. The applicant must have, or be about to receive, a doctoral degree in a subject relevant to the research project (e.g. PhD in physical chemistry, chemical physics, computational chemistry or
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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together with Jendrik Seipp, Senior Associate Professor in Artificial Intelligence at LiU. The research projects for the advertised position will be in the areas of automated planning and machine learning
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Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable
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nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry (https
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curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
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) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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into consideration. The following education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science, (organic) chemistry, or equivalent Electrical