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application and in any correspondence about this vacancy. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively
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application and in any correspondence about this vacancy. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively
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28 Aug 2025 Job Information Organisation/Company University of Turku Research Field Mathematics » Statistics Political sciences » Public policy Sociology » Socio-economic research Sociology » Other
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, or closely relevant fields • Expertise in developing novel statistical and mathematical models for addressing data challenges in real-world applications • Publications in top data science and machine learning
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principles and construct instrumentation. Knowledge – Skills – Abilities Required knowledge: optics, light safety, mathematics, statistics, documentation, records management, data utilization, complex problem
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months 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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The Leibniz Institute of Plant Biochemistry invites applications to fill the position of PostDoc Researcher for Metabolomic and Proteomic Analysis (m/f/d) (Salary group E13 TV-L,working hours 100 %, limited for 3 years, funded by the BMBF,anticipated start date: January 2026 onwards...
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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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