2,097 requirements-engineering-"https:"-"https:"-"https:"-"DFG-TRR" Fellowship positions
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, water use, and carbon emissions. You'll work side by side with talented scientists and engineers from national laboratories, universities, and industry, all collaborating to rethink how critical materials
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need
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required to substantially advance a research programme on single‑photon, label‑free optical imaging by integrating in‑house single‑photon detectors with a scanning microscope platform. The role will build
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experience of research in plant and soil science, using both qualitative and quantitative methods. You will have some experience in mathematical modelling and basic-level programming, but our main requirement
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analyses of experimental fibers Prepare and compose research manuscripts for publication Required Qualifications Ph.D. in Fiber/Textile Science and Engineering, or a related field in Polymer Material Science
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The next call for Letters of Intent will open in late-2025 or early-2026. The HFSP fellowship program supports proposals for frontier, potentially transformative research in the life sciences
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Department of Electrical and Electronic Engineering Research Fellow / Postdoctoral Fellow / Research Associate / Research Assistant (Full-time/Part-time) (Ref. 260410007) [Appointment period: nine
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. Perform other related duties as required. Job Requirements Ph.D. in Computer Science, Machine Learning, Biomedical Engineering, Electrical Engineering, Statistics, Data Science, or related fields. Proven
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Postdoctoral Fellows Harvard Data Science Postdoctoral Fellows Harvard Data Science Postdoctoral Fellows Deadline Month: December Description: Supports Harvard University postdocs who take on new or risky