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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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- Participation in research seminars and group discussions - Supervision of interns, collaboration with PhD students The team has expertise in cryptographic methods, algorithms, and complexity theory, and includes
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
the replicator equation. The candidate(s) may also be required to develop computational and algorithmic platforms to link models to biological data. The project integrates dynamical systems, graph theory, linear
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Postdoctoral Research Fellow to design and execute independent and
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For further information, please contact jiri.strouhal@taltech.ee and tarmo.kadak@taltech.ee and visit https://taltech.ee/en/department-business-administration and https://taltech.ee/en/phd-admission Where
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24 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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scheduling algorithms to ensure operation continuity and reliable information exchange among batteryless sensors. Where to apply Website https://lavoraconnoi.unitn.it/research-assignments/dipartimento-disi
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will be eligible for full benefits. Lab: https://abc.berkeley.edu/ Contract: https://uaw5810.org/ar-contract-2022/ Qualifications Basic qualifications (required at time of application) PhD (or equivalent
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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algorithm of the PotionDB system (https://github.com/AndreRijo/potionDB ); • Evaluate the proposed improvements in a geo-distributed context, using appropriate benchmarks; • Document the proposed improvements