153 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
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13 Sep 2025 Job Information Organisation/Company Linnaeus University Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Sweden Application
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funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Automatic
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funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Automatic
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the fields of information visualization / visual analytics as well as machine learning in close collaboration with ISOVIS members, other research groups of the department, and domain experts within DISA
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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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research funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in
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organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise