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challenges. Our eight institutes—ranging from mathematics, computer science, astronomy, physics, chemistry, and biopharmaceutical sciences to biology and environmental sciences—together with the Lorentz Center
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, the NNSA's Minority Educational Institution Student Partnership Program , and the NSF's Mathematical Sciences Graduate Internship . Eligible applicants are encouraged to apply to all opportunities of interest
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sponsorship. Job Duties Performing high level experimental, theoretical, and numerical research and data analysis (55%) Presentation publication, and proposal preparation (20%) Mentoring PhD and MSME students
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motivated, collaborative and creative candidates. Do you recognize yourself in (many of) these requirements? You hold a PhD in Transport Engineering, Civil Engineering, Computer Science, Data Science, Applied
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, biophysics, applied mathematics, or related field. Expertise in machine learning, computer vision, or image analysis. Experience with data management and databases. Experience working with Python, scientific
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who holds a PhD in a quantitative discipline such as mathematics, statistics, or a related field, with applications in finance or economics. Candidates will be evaluated based on their publication
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engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in sustainable urban mobility. Job requirements PhD in OR and other related
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to funder reporting Qualifications · Must have a PhD or equivalent in applied mathematics, statistics, biophysics, or similar. · Must be able to undertake full-time research and scholarship. · Must be able
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) Application Deadline 29 Jul 2026 - 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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for the sustainable planning of wind power in forest landscapes. For more information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology