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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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until the positions are filled. Qualifications Minimum Qualifications: PHD or equivalent in Quantum Information by the start date of appointment Preferred Qualifications: Demonstrated record of research
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Campus Main - Albuquerque, NM Benefits Eligible Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information. Position Summary The Department
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mission is to transform bold scientific ideas into advances that improve human health. Within this mission, the Health Data Science Centre (HDSC) at HT has been planned in partnership with Politecnico di
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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to develop independent research projects and prepare for a successful future in interdisciplinary science. What you’ll bring: Essential PhD degree in molecular biology or related discipline, with a focus on
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University of California San Diego - Ganesan Lab | Mision de San Diego de Alcala, Baja California | Mexico | 2 months ago
· Ph.D. or MD/PhD in immunology · Experience in murine work and in vivo/functional experiments using mouse models · Experience with tumor models, brain tumor models, leukemia models
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Essential PhD in immunology, hematology, molecular biology, stem cell biology, gene therapy, or a related discipline, achieved as at the fund’s start date (September 7, 2026) Strong experience in CAR T-cell
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areas, including (but not limited to): Spatio-temporal Statistics, Environmental Statistics, Biostatistics, High-dimensional Statistics, Industrial Statistics, Statistics for Data Sciences, Artificial