156 computational-physics-"https:"-"https:"-"https:"-"https:"-"Univ" Postdoctoral positions at Nature Careers
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communicate your work, contributing to scientific publications, stakeholder presentations, and potential valorization or IP development. Job requirements A PhD in data science, applied physics, chemistry
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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. Qualifications We are looking for a highly motivated researcher with a background in atmospheric chemistry, physics, mathematical modelling, climate science, or related fields. The ideal candidate should have
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research
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-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
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unprecedented power to uncover cell-type-specific and cell-state-specific genetic mechanisms underlying human biology and disease. The Postdoc joining this program will have the opportunity to: Drive high-impact
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(including gastruloids) to study epigenetic regulation in development. An interdisciplinary environment with opportunities for collaboration across experimental and computational life sciences within MBG and
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recruitment events, such as the St. Jude National Graduate Student Symposium. The academic recruiter will communicate extensively with candidates and faculty throughout the application process and schedule
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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assessments. Key responsibilities Design and conduct experiments. Operate and maintain gas measurement equipment and flux chambers. Process, analyze, and visualize large data sets using Matlab, R, Python