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biological data and AI expertise into trustworthy, reproducible digital assets that accelerate innovation in healthcare and biotechnology through validation, engineering, and valorization pathways such as
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
respiration, POXC, aggregate stability, ACE protein, potentially mineralizable nitrogen, etc.). Proficiency with statistical analysis and data management using software such as R, SAS, or similar programs
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the field, with a strong track record of internationally competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise
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Apply software engineering and documentation best practices to ensure usability and maintainability Present results at meetings, workshops, and conferences Publish findings in conference proceedings and
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vision-based platforms. You will work at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep
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Engineering » Electrical engineering Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 29 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of
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experiences. Find out more about us at: https://www.bryant.edu/academics/school-health-and-behavioral-sciences. Bryant is recognized as a top 1 percent national leader in student education outcomes and ROI and
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of Neuromedicine and Movement Science (INB) at the Norwegian University of Science and Technology (NTNU) invites applications for a 3-year full-time (100%) PhD position. The successful candidate will be part of