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Field
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Matter searches, gamma-ray spectroscopy, gravitational waves) The center currently consists of eight faculty members and more than 25 researchers and PhD students. The Center possesses the unique
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23 Apr 2026 Job Information Organisation/Company TU Wien Research Field Chemistry » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 14 May 2026 - 23
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 4 hours ago
-scale assimilation Develop new interfaces between PDAF and different data assimilation systems of project partners and to machine-learning based assimilation methods Extend the ensemble assimilation
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new insights into the phenomena observed and enrich the databases required for deep learning methods. The neural networks currently being developed at LISTIC to detect and segment areas of movement in
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of supporting the selection of aortic valve prosthesis using CFD simulation, machine learning and multi-stage validation, (2024/54/E/ST8/00100) Requirements: PhD in technical sciencesThe mandatory formal
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Apr-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Environmental Sciences
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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not reached vulnerable groups or created impact at scale. SMARTSCALE brings together scientists, local partners, and governments to learn from past experiences and design better ways to spread moisture