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Field
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analytical skills and experience with specialised statistical packages. Familiarity with the challenges of ancient proteins data analysis and biomolecular archaeology. Excellent communication and collaboration
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated
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cover letter specifying the candidate's motivation in relation to this job profile. A detailed curriculum vitae. Brief research statement. Contact information of 3 referees (PhD mentor, postdoctoral
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is an AI and data science expert with a strong research portfolio spanning AI applications in computing
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statistical analysis; presentation and analytical skills. The well qualified candidate will also possess a PhD in a biological sciences field, or a Doctor of Veterinary Medicine (DVM). Laboratory research in
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relating to thermal stress responses. Additionally, the postdoc will also be developing methods for integrating thermal tolerance measures with microclimate data from field sites and climate models to better
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required You will hold a PhD in Algorithmic Game Theory, Computer Science, Operational Research, Mathematics, or a related discipline. You must have evidence of a developing research agenda with a developing