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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information
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their chosen research area. Criteria of the candidate: PhD degree in Computer Science or Applied Mathematics Strong publication track record in relevant research areas Proficiency in Python
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looking for highly motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to
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Fully-funded PhD Studentship: Understanding the identity and function of tumour-initiating states at University of Cambridge This site uses cookies to store information on your computer. Some of
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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 The PhD thesis will be conducted within the cosmology/LSST group at the
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19 Sep 2026 Job Information Organisation/Company University of Antwerp Research Field Computer science » Informatics Computer science » Programming Computer science » Other Engineering
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Job Description Job Alerts Link Apply now Research Fellow on AI4SCI, School of Computing University-Level Unit: School of Computing Faculty/Department-Level Unit: Department of Computer Science
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network offers 12 fully funded PhD positions across Europe at the intersection of advanced imaging, data fusion and cultural heritage. More information on the UNVEIL Project Website: https://unveil-dn.eu
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Studentship: Discovery of rational therapeutic biomarkers in breast cancer by systems pathology and deep learning Fully-funded PhD Studentship: Innate-adaptive immune interactions in cancer evolution Fully
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 5 days ago
health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental biology, chemistry, and medicine