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eligible to apply for an award. Due consideration should be given to financing your studies . *Part time PhD scholarships may be available, based on 0.5 of the full time rate, and will require a six year
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 32 minutes ago
activities align with the learning objectives of each course and that the CSI is optimally positioned to support ongoing and future based initiatives. · Provide operational and strategic planning and
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mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Sarajevo) Country Bosnia and Herzegovina Type of Contract Temporary Job Status
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is the largest in the School of Medicine, with nearly 1,100 faculty, including 143 PhDs and 37 MD/PhDs, in 16 divisions. Faculty are key leaders in fulfilling all missions of the school. With nearly
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highly motivated PhD researcher with an interest in optimizing distributed ML models for resource-constrained devices. The applicant should: have a master’s degree in Electrical Engineering or
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, supply chain systems, and transportation systems. We also currently host methodological research in data analytics, machine learning, human systems engineering, optimization, simulation, and stochastic
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distinctive feature will be the adaptive control of mobile sensors to optimize data collection and further reduce uncertainties. This PhD strives for strong scientific impact, contributing to global emission
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measurement workflows, and experimental protocols optimization Regular interaction with research groups, including participation in technical and scientific discussions related to ongoing projects Your Profile
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start? Have a first look of what it’s like working at ICE-2: https://go.fzj.de/ice-2 We are offering an interesting PhD Position – Techno-economic assessment of geothermal plants with material co
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project The main objective of this PhD project is to explore and analyze bio-inspired neural architectures for early detection from spatio-temporal data under realistic sensing and computational constraints