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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
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research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time
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programme (dr. Emma Beauxis Aussalet & Prof. dr. Mark Hoogendoorn). Where to apply Website https://www.academictransfer.com/en/jobs/357049/phd-position-in-sentiment-analy… Requirements Specific Requirements
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 15 days ago
ready to travel Applicants must be eligible to enroll on a PhD program at Institut National Polytechnique de Toulouse (INPT) (https://www.inp-toulouse.fr/en/study/phd.html ) Desired skills: Knowledge in
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of TechnologyCountryEstoniaCityTallinnPostal Code19086StreetEhitajate tee 5Geofield Contact City Tallinn Website https://taltech.ee/en/phd-admission Street Ehitajate tee 5 Postal Code 19086 E-Mail hadi.raja@taltech.ee STATUS: EXPIRED X
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Faculty of Engineering and Science, AAU Energy offers a PhD stipend
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computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in Mechanical Engineering and strong
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The Marketing group at Rotterdam School of Management, Erasmus University seeks a highly motivated PhD student with strong quantitative skills to study the problem of algorithmic biases in marketing. As machines