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of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience working in a high-performance computing cluster environment, and
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical and statistical modeling for reliable analysis on spatial multiomic data. The candidate will
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) discipline (includes computer science and mathematics). Secure a supervisor (and co-supervisor, if applicable) who has a full-time budgetary tenure-stream appointment or a status-only appointment at
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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significant travel to Kenya for fieldwork. About You You will have a PhD in malacology, epidemiology, spatial mapping, mathematical modelling or related disciplines and be able to demonstrate a sound
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Position Details Department of Immunology and Immunotherapy, School of Infection, Inflammation and Immunology, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £43,455 to £73,506 Clinical Full Time,...
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). Discipline(s): Computer, Information, and Data Sciences (1 ) Earth and Geosciences (1 ) Environmental and Marine Sciences (6 ) Life Health and Medical Sciences (2 ) Mathematics and Statistics (1