264 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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, robotics, machine learning, and human-robot interaction. Subject area The subject area for this position is Computer Science. Background The focus of the project is artificial intelligence (AI) and its
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measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning techniques and generative AI. A strong background in software engineering as well as some
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. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application
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strong computational–experimental feedback loop central to the project. Subject description Recent breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry
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, materials science, or related fields. You must have proven expertise in at least one of the following fields: computational geometry, algorithm development, machine learning for image recognition
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environment. You have an openness to learn and apply new computational and experimental methods. Passion in dedicating to working on hard design problems Additional requirements: It is an additional
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been completed earlier. A good ability to develop and conduct high quality research. You have a PhD in biochemistry, biophysics, chemistry, computational biology, or a related field. You have very good
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2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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development within the proposed project . Teaching duties up to 20% is included and this includes supervision of advanced-level students. Requirements PhD degree in Computational Science, Numerical Mathematics
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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