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subject to satisfactory performance. Applicants should have a PhD degree in biological/biomedical sciences or a related discipline. They should be hardworking, self-motivated, and able to work independently
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533101 Work type: Full-time Department: School of Public Health (22400
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533113 Work type: Full-time Department: Centre for Information Technology in Education within
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related to staff position within a Research Infrastructure? No Offer Description Ref.: 532911 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral
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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533220 Work type: Full-time Department: Department of Clinical Oncology, School of Clinical Medicine
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subject to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology
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to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
to work independently and interdependently within a team on a tight schedule are essential to succeed in this role. Applicants in the final stages of their PhD studies may be considered for appointment as a
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong