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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 21 days ago
On Chip) for embedded E&S applications, including atmospheric CO₂ and CH₄ monitoring. This PhD work will also play a central role in developing, testing, and validating the proposed statistical and machine
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collaborate with the Principal Investigator and help coordinate research with and supervise the research of two PhDs working on the project (one who focuses on Nigeria, and one who focuses on Mozambique
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Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related
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Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify why some patients with triple negative breast cancer
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application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15623 The University of Innsbruck is committed to raising the quota of female
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the ability to teach these courses effectively, drawing on research or applied expertise in areas such as comparative politics, international relations, political theory, political economy, or related fields
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Deep learning for imaging of marine
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. Additionally, doctoral candidates will take basic courses consisting of two main sections each: E-learning courses covering the essentials Cognition academies (classroom weeks) in which all doctoral candidates
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and