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Processes Unit, seeking talented and motivated candidates to work on biogas production from the organic fraction of municipal solid waste. This position is part of the HUB Madrid Vuela Sostenible Project, a
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materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard carbon
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sustainable fluorination reactions. Under the supervision of Dr. Chris Ewels, a CNRS Research Director and expert in DFT modeling of nanocarbon materials, the postdoc will lead Work Package 2 (WP2), which aims
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: www.uni.lu/snt-en/research-groups/finatrax/ Your role The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly
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completed dissertation research related to COSMOS and surrogate optimization for SFE/SFC. In accordance with USCIS regulations, successful applicants must be legally able to accept work in the United States
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Deadline: 2026/07/01 04:59 AM UnitedKingdomTime (posted 2026/03/25 04:00 AM UnitedKingdomTime) Position Description: Apply Position Description WORK PERFORMING: The Postdoctoral Associate will lead research
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 13 days ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: To optimally use the resources in veterinary care, it is important to capture, preprocess, and model the existing data
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must have completed dissertation research related to COSMOS and surrogate optimization for SFE/SFC. In accordance with USCIS regulations, successful applicants must be legally able to accept work in the
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to design optimized growth media for animal cells lines used in biotechnology. This work involves the development and application of genome-scale metabolic models to characterize cellular growth and