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Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell division mechanisms; Pediatric leukemia and breast cancer
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mitochondrial biology. Previous experience in Drosophila work and confocal imaging would be a strong plus. This position will be supervised by Prof Hansong Ma in the School of Biosciences at the University
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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of Pediatrics, and the Michael Cuccione Childhood Cancer Research Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell
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Cancer Research Program. The lab also actively collaborates with national and international partners in the fields of: Hereditary cancer biology; Oriented cell division mechanisms; Pediatric leukemia and
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research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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characterization and engineering of bio–nano interfaces • Participation in a highly interdisciplinary and internationally visible research programme combining colloid science, molecular self-assembly, biointerfaces
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the Programme Contract concluded with the Portuguese Foundation for Science and Technology (FCT), effective from 1 January 2021, reference No. LA/P/0095/2020, within the framework of the award of Associate
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Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (5 ) Engineering (2 ) Life
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. Procedure Reference: IT137-26-298 I - Legal admission requirements I.I - Grant Recipients: Master’s in Biology, Biotechnology, Bioengineering, Biochemistry, or similar, and be enrolled in a PhD or a non