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Programme and mentoring. An open and collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics, materials science, and artificial
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Description The interdisclipinary and highly international PhD program Medical Research in Epidemiology and Public Health ( PhD EPH ) at the Institute for Medical Information Processing, Biometry
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competence in programming with Python and working on Linux based platform is essential for this position, as is a background in either Mechanical Engineering, Material Science, Applied Physics and/or similar
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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme How To Apply Please read and complete this document as
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this programme. How to apply You must apply through the University’s Apply to Newcastle Portal In ‘Course choice’ tab, put ‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2026’ in
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to the PhD programme at the Faculty of Economics and Management . The main goals are competence building and research training. Your tasks as a PhD candidate will be to: conduct high quality research take part
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. The successful candidate will work closely with the project sponsors to deliver the outputs and will have access to a bespoke training programme. This project will deliver a model that integrates water quality to
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine
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, national innovation programs, private companies, and NGOs. Within SDU LCE, the research group focusing on net-zero transitions, renewable integration, defossilization of energy systems, CO2 infrastructure
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publication in a peer-reviewed journal or conference proceeding Proficiency in programming languages such as Python, R, and/or SAS Experience working with EHR, administrative claims and/or omics data is highly