344 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" PhD research jobs
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to better understand community perspectives and identify culturally appropriate engagement approaches. Prepare the ethics application and develop participant-facing materials. Contribute to the public
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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development through the provision of training, continued support, and career progression opportunities You will have access to a range of benefits and rewards, including fitness and health facilities, staff
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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initiatives at SWIMS. The ideal candidate will have expertise in IoT, sensor development, ecological monitoring, and advanced ecosystem imaging methods such as photogrammetry. The officer will collaborate
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will be employed for a period of 6 months and will be required to fulfil the research obligations of a project entitled Development of Hydrogen Hybrid Energy Storage System H2SS Reactor and Advanced
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to economic and human development by placing research and innovation at the forefront of Africa's advancement. The university is dedicated to generating sustainable impact at national, continental, and
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), Universitätsmedizin Greifswald offers attractive benefits such as company pension schemes and employee discounts. Professional development opportunities: Regular training and development programs are offered to support
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, and digital approaches using mutual learning, inclusive theory-development and creative methodologies (e.g. filmmaking, VR technologies) The successful candidate will support the Co-Investigator in co
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, working closely with Professor Nora Pashayan. The successful candidate will focus on developing ethnicity-specific risk thresholds that more accurately reflect the variations in breast, ovarian, and