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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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PhD Opportunity in AI-Driven 6G Wireless Communication – Join a Leading Scandinavian Research Group! 🌍Are you ready to take the leap into cutting-edge research? We are seeking a motivated, high
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the subject line ‘PhD / Master in Electrochemistry 2025 – Your Name’. One-page cover letter describing your motivation, skills, and background related to the research areas stated above. CV with contact details
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Europe | 3 months ago
, PortugalSupervisors: Dr. J. Pedro (INF), Prof. L. Cancela (Iscte)Apply here: https://match.iscte-iul.pt/phd-candidates-profiles/apply-to-dc-positions/Job information:Coordinator: Iscte – Instituto Universitário de
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing
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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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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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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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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