68 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships in Spain
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early detection is a need that needs to be addressed using advanced sensors. The candidate will apply machine learning and IA methods to anticipate the evolution of the discharges. This project aims
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rates, that is, whether they show phenotypic plasticity; (4) Writing scientific articles. IP: Cesc Múrria (IRBio-UB) Research Group: ZooSysEvo (https://zoosysevo.net/ ) Where to apply Website http
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on the findings, contributing to the broader framework of the group's ongoing technological research projects. Link to the call for applications on the UB website: https://seu.ub.edu/ofertaPublicaCategoriaPublic
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de Barcelona (UAB). More information & application link: https://webs.uab.cat/phynest/2025/11/12/spin-orbit-torques-in-van-der-waals-heterostructures-2/ DEADLINE FOR APPLICATIONS: 28 February 2026
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Machine Learning A PhD position is available at the Computer Vision Center (CVC) under the supervision of Fernando Vilariño and Paula García . The successful candidate will be enrolled in
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an attractive salary in line with MSCA regulations (https://data.europa.eu/doi/10.2766/346248 ). All DCs will benefit from a rich program of local and network-wide training activities covering scientific
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the project ‘MultiLearn: A multimodal approach to language learning: a window into the linguistic skills of children with neurodevelopmental disorders‘. The project is led by researchers Alfonso Igualada and
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of the students involved in these experiments Where to apply Website https://talent.irta.cat/en/jobs/7268015-phd-candidate-for-the-animal-welfare-pr… Requirements Research FieldMedical sciences » Veterinary
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PhD student position on development of innovative bifunctional oxygen electrodes for SOC technology.
on the development and testing of oxygen electrodes for SOC technology - A person who is highly motivated to learn, work in a team, showing high flexibility and initiative and ability to innovate. - Bachelor and
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descriptors to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and