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in grant-writing and annual reports Perform other duties as assigned Minimum Qualifications: Education and Experience: PhD degree in Mathematics, Applied Mathematics, Computational Science, Statistics
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, including participation in evaluation measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research
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) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research
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needed. Term of position This is a one-year appointment renewable contingent upon satisfactory performance, available work and funding. Requirements Ph.D. in statistics, computer science, or a related
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and advanced attendees Schedule Flexibility with work schedule Compensation Grade LOA https://www.unr.edu/hr/compensation-evaluation/salary-schedules/loa-and-postdoc Exempt Yes Full-Time Equivalent 0.0
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, the position includes responsibility for the daily maintenance and user support of the institute’s IT infrastructure, as well as long-term planning of servers, storage, backup solutions and high-performance
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Position Title: Postdoc Research Associate - Electrical and Computer Engineering Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Postdoctoral Research
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6 Feb 2026 Job Information Organisation/Company Aix-Marseille Université Research Field Environmental science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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Institute of Fundamental Technological Research Polish Academy of Sciences | Poland | about 1 month ago
Engineering » Materials engineering Technology » Materials technology Physics » Surface physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 23 Mar 2026 - 23:59
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discovery Work closely with experts in machine learning, domain sciences, and AI Contribute to the development of interpretable and high-performing AI models Develop and train large AI models for science