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to a total of 4 years is then possible provided the excellent performance of the candidate. Your future tasks: You actively participate in research, teaching & administration, which means: Synthesize and
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, regulatory documentation, and data management systems. Contribute to scientific writing, manuscript preparation, conference abstracts, and journal publications. Assist with Institutional Review Board (IRB
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margins/management procedures associated with these. Based in the UoM RR UTC at the Energy Conversion Group, you will be responsible for undertaking the relevant research under the guidance of Dr Djurovic
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protection benefits provided by restored saltmarshes. The successful PhD candidate will work with laboratory experiments and develop numerical and AI models capable of supporting coastal management and
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applications for a vacant PhD scholarship at the Department of Accounting within the subject of accounting and artificial intelligence within the field of either financial accounting, management accounting and
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infrastructure and modern workplace equipment PhD Buddy Program family-friendly company policy with childcare facilities, e.g.nursery close to the company Operational Health Management, e.g. Employee Assistance
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. Writing a dissertation and related publications in the fields of AI4SE and SE4AI Assisting with administrative and organizational tasks within the institute Assisting with the acquisition, management, and
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of Social and Behavioural Sciences (ESSB) Erasmus School of Philosophy (ESPhil) Rotterdam School of Management (RSM) International Institute of Social Studies (ISS) Erasmus School of Health Policy
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using diverse models, both in vitro and in vivo. The precise direction of the project will be developed according to the student's interests and emerging findings in the laboratory. Depending
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
performance. You will join the Production Management Research Group at NTNU, which focuses on the design and planning of production and logistics systems. The research will be carried out together with industry