208 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on the design and optimization of various types of turbomachinery. The design and optimization
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will also be involved in data collection by conducting experiments in the fish laboratory. While the focus of the position must be aligned with the group’s scientific vision, the successful applicant
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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: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 within a
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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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ocean environments, ensure safe and sustainable operations. Our activities are centered on numerical modelling (e.g. CFD, FEA, FSI, optimization, machine learning), but also include experiments and real
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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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belong to the Department of Industrial and Materials Science. The Department of Industrial and Materials Science shares knowledge and their vision of technical solutions for the future industry in a
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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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13 Sep 2025 Job Information Organisation/Company Linnaeus University Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Sweden Application