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We are seeking a part‑time Postdoctoral Senior Research Associate in Computational Ethology / AI for Behaviour to deliver POSEIDANT: POSE‑based Identification and Detection of ANT nest behaviours, a
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(where you will be based). This position is funded through the KTP programme of the UKRI and includes a £4,000 training budget and 10% of your time dedicated to your personal development. You will have
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are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. EMBRACE is a visionary, multicomponent international research programme, the first
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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for delivering GBI’s vision. Essential Knowledge, Skills and Experience: A PhD in a relevant scientific discipline, such as synthetic biology, computational biology and AI, microbial, plant and human cell biology
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The University of Surrey’s Faculty of Health and Medical Sciences comprises five schools, working together under a ‘one health’ vision. Our state-of-the-art facilities and equipment provide
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Undergraduate, Post Graduate Taught and Post Graduate Research (PGR) PhD and M.Res. levels aligned to a range of research activities. The GSA is an environment in which difference is encouraged and diversity
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene