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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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research discussions. Duration: This is a contract position. The term of appointment will be 2 years, extensible to longer terms upon satisfactory performance and funding availability. Requirements: A PhD in
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will also have opportunities to collaborate with interdisciplinary teams within the MBI and across the world. Qualifications PhD in Cell Biology, Molecular Biology, Developmental Biology, or a closely
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relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Possess a PhD degree in Computer Science, Mathematics, or a closely related area Knowledge
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liaise with our collaborators for admin matters related to the project. Required educational qualification, experience, skills and competencies PhD in life sciences, chemistry, bioengineering or related
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contribute to grant proposals and progress reports. Collaborate with interdisciplinary teams within CQT and with external academic and industry partners. Requirements PhD in Physics, Engineering, Computer
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Qualification Requirements: PhD (or equivalent) in clinical epidemiology, statistics, clinical endocrinology. Strong research experience in endocrinology and diabetes is desirable. Knowledge of biological sample
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understanding of the field. Requirements: Applicants are expected to possess a PhD degree in related field such as Economics/Health Economics/Public Health/Statistics. The grade of appointment will be accorded
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research team on projects aimed at advancing sustainable bioproduction. Appointments will be initially made on a 1-year contract, with the possibility of extension. PhD holders with no experience are welcome
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characterize the structures. This work will involve multidisciplinary collaboration with physicists, materials scientists, and engineers. Job Requirements: Possess PhD in Physics or Material Science. Experience