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Qualifications The Fellowship is meant for recent postdoctoral scholars who have completed their PhD studies in the last five years. For this year’s application cycle, applicants must have obtained their PhD
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transplantation. We are looking for a highly motivated candidate with a PhD degree interested in using microbiological methods with the aim of developing novel strategies to improve bone marrow transplantation and
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research. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline. Provide guidance, as required, to support staff and any students who may be
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handling, storage, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD degree in
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. This is an excellent opportunity to be part of an interdisciplinary and international research collaboration, spanning health policy, economics, medicine, and public health. Candidates should have a PhD (or
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embrace these values and promote them in your role. Requirements A successful candidate will have a doctoral degree (PhD) in Materials Science, Chemistry, or Physics with experience in Materials Sciences
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assistants, PhD students and masters students. The role offers an opportunity to conduct impactful, collaborative and rigorous research that can make a real difference to the lives of people with depression
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the academic promotions process. About You Completion or near completion of a PhD in theoretical atomic physics or related discipline. An emerging profile in research in theoretical atomic physics or related
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manufacturing process to validate the selection of the appropriate design to desalinate brackish water and/or seawater. Job description: The position is open to candidates with a PhD or equivalent in a relevant
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, especially in the area of simulations. Criteria of the candidate: PhD in the field of Computational Biology, or related fields Strong publication record in leading international journals Excellent background