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Fund project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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for a postdoc position in hybrid additive + subtractive manufacturing research with a focus on repair and remanufacturing of worn-out components particularly for high temperature turbine applications
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 16 days ago
), and Morpheo team at Inria Grenoble (https://team.inria.fr/morpheo ). It is financed by an Inrae Explor’ae funding. About The Postdoc will start 01.09.2026 for a duration of 18 months, and be supervised
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Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/postdoc… Requirements Research FieldComputer scienceYears of Research Experience4 - 10 Research
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structure calculations, vibronic property simulations, and analyzing surface adsorption phenomena. Knowledge of machine learning potentials (e.g., GAP, ACE) or reactive force fields is a plus, as fallback
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Responsibilities We are looking for a highly motivated Postdoc in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI (BilAI),” funded by
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. Strong background in machine learning and AI, with demonstrated experience in at least one of: computer vision, recommendation systems, decision-support systems, explainable AI, or LLM-based reasoning
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. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Salary Range: Â Base pay is
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programming and instrument control using Matlab, Python, Labview etc Machine / deep learning expertise Strong analytical skills and ability to work in a multidisciplinary team Excellent communication and
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soon as possible Job Reference Number: 36400-2026-001900 One of the EU’s leading machine learning hubs. A team with continuous high-impact publications (e.g., Nature, Science formats. Unique