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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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Duration: Fall semester; 14 hours per week Reporting Structure: This is a non-management position within the Division of Computational Health Sciences within the University of Minnesota Medical School, and
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information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in Data Science, Biostatistics, Computer Science, Health Informatics, or a closely related discipline
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year of their PhD program will also be considered for the Assistant Professor position; Strong academic research ability and clear scientific research planning; Able to teach undergraduate
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such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or
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Interdisciplinary Programs About the Department The Self-driving Platforms for Expedited Experimental co-Design (SPEED) Programmable Cloud Laboratory is a $20 million National Science Foundation-funded national
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immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 2 months ago
-time Hours Per Week 40 Offer Starting Date 4 Jan 2027 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 Research
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responsible and effective adoption of agentic AI. The position reports to the Chief of Artificial Intelligence. Responsibilities Lead computationally focused agentic-AI research and engineering projects with
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version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference ● Excellent written and oral communication skills, with a