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Field
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Specification We seek an enthusiastic individual who is interested in marine ecology, computing, with some prior experience in programming and data handling, eager to communicate findings to wider stakeholders
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Graduate School at Arts
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investigations, and core-based innovation. Key Responsibilities : Research & Innovation - Establish an independent research program aligned with functional genomics, cancer biology, or protein engineering
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for Security Operations Centres (SOCs) while pioneering strategies for quantum-era resilience. This project sits at the intersection of Artificial Intelligence, Cybersecurity, and Explainable Computing. It
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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Diseases. Reporting to the Section Chair, the Data Science – CDM faculty are expected to develop, sustain, and lead an active, obvious, externally funded research program with outstanding scholarship and to
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Status Full-time Hours Per Week 42 Offer Starting Date 15 Oct 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101073558 Is the
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods