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The Mentor Doctoral program is an EU-funded Marie Skłodowska-Curie Action (MSCA) to foster and train Doctoral Candidates (DC) on the metabolic control of cell growth by mTOR in pathophysiology
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European collaboration State-of-the-art research facilities A dedicated training program to broaden your expertise and enhance your skill setA doctoral scholarship for a period of one year, with
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research environment operating at an international level, both in Belgium and SpainDedicated training programs available through VIB and UAntwerp to broaden your expertise and enhance your skillsetA
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training program consisting of 23 academic and non-academic partners from 8 EU countries (The Netherlands, Belgium, Germany, France, Spain, Italy, Czech Republic, United Kingdom). MIRACLE aims to train 10
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discrimination and harassment in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints
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collaborative and supportive research team A broad range of professional development opportunities, including internal and external training programs and various career pathways A centrally located workplace in
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social
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PhD candidate in the automated detection of measurable residual disease in hematological malignancie
(deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Strong interpersonal skills Ability to work