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We are now looking for a PhD student in Quantitative Logistics with a focus on efficient and sustainable supply chains. Join an exciting project where you’ll analyze and develop strategies
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, numerical implementation, and analysis of multi-scale heat transfer phenomena. Co-supervise PhD students and contribute to mentoring early-career researchers involved in related modelling activities. Attend
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a EU programme Reference Number BAP-2025-744 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking two PhD candidates to work on the following
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Applicants must be eligible to enroll on a PhD program at US (https://www.uni-stuttgart.de/en/research/early-career-researchers/doctoral-degree-studies/ and https://www.f06.uni-stuttgart.de/en/research/phd
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to accelerate reaction discovery & analysis thereby improving chemical understanding. With a strong publication record and a collaborative spirit, we offer an inspiring environment for PhD candidates aiming
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computational infrastructure which are critical for our research. The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and
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in infrared temperature sensing, • proficiency in programming, numerical simulation, and data analysis, • a strong passion and curiosity for space exploration and solar system science, • excellent
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Microscopy Center. The project further benefits from excellent dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. This is a full-time, two-year
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residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate schools and the MD/PhD program of the CU School of Medicine. Why work for the University? We have AMAZING
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of molecular complexes bound states 4. Required: Programming skills and experience in numerical methods 5. Preferred: Knowledge of the theory of molecular shapes and collision-induced optical resonances 6