32 post-doc-image-processing Postdoctoral positions at KTH Royal Institute of Technology in Sweden
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focusing mainly on research, intended as a first career step after a dissertation. Others For information about processing of personal data in the recruitment process. It may be the case that a position at
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. Others For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective
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the documentation you need for the selection process. The application must include: CV including relevant professional experience and knowledge. Copy of diplomas and grades from your previous university studies
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23 Oct 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Computer architecture Computer science » Other Environmental science » Earth
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position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation. Others For information about processing of
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can
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position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation. Others For information about processing of
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processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585
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career step after a dissertation. Others For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role
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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