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. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively supports equality, diversity and inclusion and encourages
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Postdoctoral Research Associate ( Job Number: 25000740) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: 24 months Contracted Hours per Week
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely
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mathematical ability Experience with symmetry analysis, group theory, or topological band theory Demonstrated experience in programming and contributions to open-source software Excellent communication skills
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/algebraic statistics in the School of Mathematics at the University of Edinburgh. The post is available from 1st September for a 36 months fixed-term, full-time contract with a potential 6 month extension
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We are seeking a motivated and skilled in vivo Research Assistant to join the group of Professor Richard Gilbertson at the Cancer Research UK Cambridge Institute. The Gilbertson lab is dedicated to understanding the origins and progression of paediatric brain tumours and developing new...
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Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Electrical and Computer Engineering, Applied Mathematics or a
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 4 days ago
to bridge between physics, engineering, and mathematics Ability to communicate work in written and presentation form Ability to manage and organise projects with realistic time planning Ability
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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities