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Field
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-economic analysis and life cycle assessment methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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work on a translational project and generate preliminary data for a PhD. Examples of programmes on-going include using peripheral immune cells to predict immunotherapy response in biliary tract and liver
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conventional models undervalue information, and then use this understanding to improve management recommendations across ecological contexts. You will help drive innovative approaches to generalise value
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datasets spanning a range of model organisms (e.g. Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Daphnia magna, and others) and human cell lines. In addition, the role will involve the in
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model, and fostering an inclusive working culture Person Specification PHD (or near to completion) degree in Physics and/or Astrophysics, and experience with interpretation of astronomical data High level
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data
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, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to
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Telescope Apply for this job See advertisement About the position Position as PhD Research Fellow is available at the Department of Technology Systems (ITS) as a part of the European ATLAST2 Project
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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date September 26, 2025 Position Type Full Time - Trust Funded This position is part of the Post Doctoral Fellows Association and has an initial appointment of two years, with the possibility of renewal