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Field
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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, and academic institutions. Required Qualifications PhD in one of the following fields: smart urban systems engineering, computer science applied to urban infrastructure, data science, or a related 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