16 post-doc-image-engineering-computer-vision PhD positions at University of East Anglia; in Uk
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: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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, physics, chemistry, natural sciences, engineering, or another subject in a similar area. Start date: 1st October 2026 Funding ARIES studentships are subject to UKRI terms and conditions . Successful
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molecular genetic engineering. Scientific Background In all species that lay eggs externally - in nests, ponds, mudpiles, food or other substrates - eggs and young may face unpredictable exposure to harmful
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dynamics, and evolutionary adaptability compared to sexual reproduction in natural (wild) plant populations. We will address two questions: (1) Does apomixis act as a transitional “safety net” mechanism post
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(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods
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. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
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has been recently identified as the most promising phosphate rock resource in Norway. The main aim of this project is to decipher between magmatic and post-emplacement microstructure to understand