271 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in Sweden
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geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined
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, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
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, funded by Kempe fundation is full-time for two years with access may 2026 or by agreement. Departmental specific information The research group led by Jonas von Hofsten (https://www.umu.se/en/staff/jonas
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to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant
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in full-text format) Only documents written in Swedish, English, Norwegian and Danish can be reviewed. More information for applicants will be found on our career site: https://www.oru.se/english
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manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious
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. You are expected to learn to develop your own scientific concepts and communicate the results of your research verbally and in writing. Your research activities will contribute to enhanced knowledge in
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their doctoral degree earlier may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning