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graduate students and research trainees as appropriate. Qualifications PhD, MD, or MD/PhD in cardiovascular biology, physiology, molecular biology, or a related field. Experience in patch-clamp
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. Qualifications PhD, MD, or MD/PhD in genetics, stem cell biology, molecular biology, biomedical engineering, or related discipline. Experience in iPSC culture and differentiation. Experience with genome editing
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and testing of LLMs. About you You will hold, or be close to completion of a PhD/DPhil in a relevant technical subject (e.g. computer science, statistics, engineering) and possess sufficient specialist
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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with an interest in applying advanced methods to questions in neuropsychiatric research. The candidate must have: A PhD in neuroscience, neuroimaging, medicine, computational science, physics, statistics
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation
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availability of funding. The anticipated start date for the position is June 1, 2025. Individuals with a strong theoretical background who expect to obtain a PhD in a related field (e.g., statistics
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shares and inheritance statistics in developing and developed countries. This is a fixed term role which will end by the end of February 2027. About you You will hold, or be close to completion of, a PhD
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imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas
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Statistics, Biostatistics, Data Science, or related fields (PhD candidates nearing completion will also be considered). Proficiency in R programming language for statistical modeling and data analysis. Strong