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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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, MSc, and PhD level Write research articles, as well as grant proposals, and present your own work at international conferences Your Profile: Master / Diploma and excellent PhD in computer
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. Interested, qualified candidates can submit their cover letter, CV, and supporting documents to: https://unmc.peopleadmin.com/postings/96054 Required Qualifications PhD in cancer biology, molecular/cellular
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the MSuS and AOT groups, allowing extensive collaboration and knowledge exchange. As part of the PhD program, you would have the opportunity to receive further education within the Twente Graduate School and
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The successful candidate will have an outstanding academic track record and a strategic vision to develop an ambitious and innovative research program. The ideal profile is that of a researcher able to propose
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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to be enrolled in a study programme leading to a PhD (or in a non-degree programme). - Have proven experience in physical and digital modeling to predict the structural performance of packaging, enabling
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of Health, Science, and Technology is advertising a position within its doctoral program leading to a PhD in Computer Science. This PhD position is part of the Privacy and Security research group (PriSec
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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Starting Date 15 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number #JOB5/2026 Is the Job related to staff position within a Research