252 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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to analyze histopathology images, clinical and molecular data. Computer vision and deep learning techniques are central in our research projects aimed at improving cancer patient risk stratification. As a
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, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of
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, research and teaching are conducted in computer science, computer engineering, and informatics. We have two expanding departments in these areas, with around 50 employees. Your placement will be in
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-constrained models. Currently, we are advancing the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid
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of research and 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
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the opportunity to develop your own research ideas within the lab’s focus areas Build and refine computational models of human innovation and learning processes Design and test AI algorithms
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to strengthen the collaboration between the CPR and HCT groups. At the School of Engineering, research and teaching are conducted in computer science, computer engineering, and informatics. We have two expanding
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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
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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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for materials science, and advanced optimizers for modern deep learning. The research may be conducted in collaboration with the Electronic and Photonic Materials and/or the Computer Vision Laboratory