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Field
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Multiple Long-Term Conditions (MLTCs). It has a particular focus on research that is highly relevant to disadvantaged communities who are most impacted by MLTCs. It is led by a multidisciplinary team of
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plans should be adjusted accordingly. There will be opportunities to supervisor multiple PhD students as a member of supervisory team. Applicants are required to have a PhD*, or equivalent professional
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Chronic Conditions (ADACC) Network. This consortium will consist of multidisciplinary investigators dedicated to developing evidence-based strategies for the use and implementation of biomarkers
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program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and
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projects will work towards this goal. PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown below. The candidate is expected to have hands-on experience in
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. It is a prerequisite that you complete the project during the employment period. Qualification requirements You must have a PhD with a specialisation relevant for the project. The PhD thesis must have
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candidates will be admitted to the PhD program in Health and Medicine. The education includes relevant courses amounting to about six months of study, a dissertation based on independent research
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innovative research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong