153 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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, TensorFlow, JAX). Demonstrated ability to work in interdisciplinary teams bridging machine learning, neuroscience, and chemistry. Excellent communicative skills and Collaborative abilities Motivation and
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), research is carried out in computer vision, robotics and machine learning. We are now looking for two postdocs in robotics and machine learning and computer vision. The successful candidates is expected
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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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qualified and motivated postdoctoral researcher. The group studies the behavioral, neural, and computational principles behind human learning and decision-making in social environments. Our interdisciplinary
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areas. Qualifications To be eligible for a postdoc position, you must have a PhD in Computer Science, Automation, Electronics, Mechatronics, Industrial IT, or another relevant subject area. The PhD should
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, publications, and collaboration, as well as to educational activities within the framework of LTU’s profile areas. Qualifications To be eligible for a postdoc position, you must have a PhD in Computer
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Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and machine learning applications Experience with machine learning methods
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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