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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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administration and organisation. We are looking for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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) Positions PhD Positions Application Deadline 20 Mar 2026 - 18:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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distinguer, d'un point de vue statistique, plusieurs processus ponctuels marqués et à identifier les statistiques discriminantes les plus pertinentes. Ces statistiques sont construites à partir de graphes
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components. To strengthen our research group, Integrative Food Systems Analysis / Section III, we are currently looking for a committed PhD Student to start on 01/05/2026. The position is part-time (TV-L 13
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20 Feb 2026 Job Information Organisation/Company Centrale Supelec Department L2S Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Mar 2026 - 12:30 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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perturbation models that combine foundation models (FMs) and graph neural networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling
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at the department, together with three PhD students. The successful candidate will work with Senior Associate Professor Olaf Hartig who is a leading researcher in the field of Semantic Web and Knowledge Graph