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up to four years. The position will remain open until a suitable candidate is found. Requirements: PhD in a quantitative field, such as Mathematical/Computational Biology, Biophysics, Chemical
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of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS), the world's largest focused research initiative in mathematical biology. As a highly motivated post-doctoral fellow, you will employ
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Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) | Jena, Th ringen | Germany | 24 days ago
invites talented and highly gifted candidates to apply as Doctoral Researcher (m/f/div) in Computational Biology for three years initially with the prospect of prolongation. Research areas: mathematical
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for the Mathematical Analysis of Cellular Systems (MACSYS), the world's largest focused research initiative in mathematical biology. As a highly motivated post-doctoral fellow, you will collaborate with
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Council Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS), the world's largest focused research initiative in mathematical biology. As a highly motivated post-doctoral fellow
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, Computer Science, or related discipline. The successful candidate will possess a strong background in Biology, Statistics/Mathematics and/or Computer Science. Extensive experience in software and algorithm
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science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future innovators. Our courses in the Department of Biosciences are research-led
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We are seeking a talented and creative postdoctoral researcher to work on an interdisciplinary project at the intersection of mathematics, data science and biology. The project will use mathematical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
clotting. We use a data-driven, interdisciplinary approach that blends our mathematical, computational, and statistical expertise with biology and biochemistry collaborations. We work with numerical and
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establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical