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the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300
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Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
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qualification preferably in biology, bioinformatics, or a related discipline; For the research associate position, applicants are expected to have a strong publication record, and preferred qualifications include
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. Yiji Xia at [email protected] . Requirements: Bachelor’s degree or higher qualification preferably in biology, bioinformatics, or a related discipline; For the research associate position, applicants
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experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics deep learning, digital twin, smart and resilient infrastructure
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will include coordinating and leading fieldwork in marine and coastal ecosystems, and carry out sample collection, processing and laboratory analyses. They will lead data analysis and contribute
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, and carry out sample collection, processing and laboratory analyses. They will lead data analysis and contribute to the preparation of manuscripts, reports and grant proposals. The appointee will
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technologies, including drones, robotics, and self-driven laboratories. The appointees will engage in research on the development of intelligent hybrid power architectures to support autonomous operation in
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appointee. Appointment will normally be made on a fixed-term contract of up to three years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants
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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects