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Molecular Biotechnology (IPMB) of Heidelberg University is offering a 3-year full-time (100%; 39,5 h/week) postdoc position in Multiomics Data Integration and Machine-Learning for therapy response prediction
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Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
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, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
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viewpoints, and the use of disguises. This interdisciplinary PhD offers an exciting opportunity to help modernise eyewitness identification by combining cognitive psychology, immersive technology, and
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Deadline : April 15th 2026 · Selection Process : Mai 2026 · PhD Start Date : September-October 2026 How to apply All information are provided on the website of the project : https://www.eu4greenfielddata.eu/
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programme at the Faculty of Humanities and education. More information is to be found here (in Norwegian): https://www.uia.no/studier/program/phd-program-i-humaniora-og-pedagogikk/ Required qualifications
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 11 days ago
Intelligence Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jan 2026 - 12:00 (Europe/Warsaw) Country Poland Type
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nanotechnology at Chalmers. Chalmers is now offering three Excellence PhD positions in the field of Nanoscience and Nanotechnology, as well as 12 additional PhD positions with specific research topics within
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about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral-education/ Academic union representatives: https://internt.slu.se/en/my-employment/employee-associations
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: 10.1101/2025.09.08.674950), and AI/machine learning. We work closely with clinicians to translate our findings into clinical practice, focusing on genomically complex sarcomas and haematological