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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
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, 10 lecturers, 20 postdocs, and 60 doctoral students. Our department has a welcoming culture which nurtures innovativeness and communication among our international and diverse faculty. The department
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models that provide evidence-based reasoning for mission-critical decisions. Explainable AI for mission-critical decision support: design interpretable machine learning architectures capable of offering
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer
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Postdoc Appointment Term: 2 years Appointment Start Date: 01-01-2026 Group or Departmental Website: http://aging.stanford.edu (link is external) http://geriatrics.stanford.edu (link is external) How
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 10 Apr 2026 - 23:45 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job
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The Franciszek Górski Institute of Plant Physiology Polish Academy of Sciences | Poland | about 2 months ago
qualifications Experience in one or more of the following areas will be considered an advantage: RNAseq analysis pipelines, systems biology, modelling biological processes, or machine learning approaches, redox
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for Horticulture and Phenotyping) team research topics focus on low cost computer vision and machine learning, simulation assisted plant phenotyping and machine learning based data mining for plant biology
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We expect you to be able