308 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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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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deconvolution and machine learning methods for prognosis and therapeutic biomarker development. The collaborative research may include but is not limited to software tool dissemination, biology discovery, and
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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Jan 2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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engineering, or a related subject area. The applicant should have solid experience in computational electromagnetism/photonics, inverse design, or machine learning. You will be expected to take initiative, work
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related fields. Experience in Machine Learning/AI, mathematical, computational and statistical training are also advantageous. About the employment The employment is a temporary position of two years
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at the nanoscale. The Division has a strong commitment to undergraduate education, not least in the Master's programme "Engineering Nanoscience" at LTH. A significant part of the research at our division is in
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The research focus for this position should be linked to the learning materiual developed by the lab, but the precise area in focus may depend on the applicants skills. Supervise master’s and/or PhD students
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principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics