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Description A call is open for the allocation of 1 (one) research fellowship for a PhD student (BI), within the Research Project titled Projeto Lusitano BI #11, funded by PRR: Plano de Recuperação e Resiliência
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traders and technologists to push strategies into production What we're looking for PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree and
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Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 24 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 11 Sep
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PhD Thesis position in Composite Magnetic Materials and Embedded Magnetic Core power Inductors for Integrated Voltage Regulators in High-Performance ComputingContract: Full Time/Fixed Term for three
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). The institute also maintains locations in Dedelow and Paulinenaue.The research group “Farm Economics and Ecosystem Services” is a team of dedicated postdocs and PhD students who want to make a difference through
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management and thus to a higher overall system efficiency. This PhD research project targets the development of novel composite magnetic materials and package-embedded power magnetic core inductors based
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to August 2029 Closing date: 31st January 2026 UK and International travel will be required for this role Background The role will be salaried as an Early Career Researcher and will include a fully funded PhD