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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
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of biosensors into microsurgical training, developing a robust framework for data collection, and advancing performance analytics. Together, we shift how we train, observe, and understand microsurgical expertise
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to work with quantitative or demographic data (e.g., historical mortality, health statistics). Proven archival research experience. Excellent command of written and spoken English. General requirements
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for modelling, control, and optimisation of next-generation energy conversion systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise
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, health statistics). Proven archival research experience. Excellent command of written and spoken English. General requirements: Ability to undertake extended archival research trips abroad. Strong
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8 Nov 2025 Job Information Organisation/Company Tampere University Research Field Computer science » Programming Computer science » Other Engineering » Control engineering Engineering » Industrial
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of electric vehicles, the decreased controllability of renewable energy resources, and the need for flexible electricity consumption. From a data management perspective, the candidate is expected
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graphite with stacking faults. Properly engineered graphite may form a system that eventually provides a robust room temperature superconductor for technological applications. Your role and goals Your role
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both in health and disease. The suitable candidate would need to have either degree or extensive experience in computational sciences. OUR RESEARCH Our group’s web page: https://www.helsinki.fi/en
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and