141 computational-physics-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
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, and actively support the mentorship of junior researchers. Working at the intersection of chemistry, biology, physics, and engineering, you will play an integral role in shaping MDLS’s evolving vision
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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mathematics, physics, geophysics, optical engineering, electronic science and technology, chemistry, materials science, biology, bioengineering, pharmacy, basic medicine, environmental science and engineering
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The Department of Biotechnology and Food Science, Institute of Computational Biology is currently seeking a Postdoctoral Research Associate (Reference code 216) Extent of employment: 40 hours per
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agronomy, engineering, biology, technical oriented sciences or similar Research experience on process-based and ML models to simulate nutrient flows in agro-ecosystems Proficient skills with scripting (R
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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of innovation. Apply through the IAAM R&D World Program, Apply Online before 30 November 2025. About IAAM The International Association of Advanced Materials (IAAM) is a non-profit scientific organization
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combining experimental and computational approaches to: Characterize the evolution of cis-regulatory networks across primate brain development using novel single-cell omics methods Apply deep learning models