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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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Agents and remote interfaces to support the MaaS Consumer to remotely monitor and control parameters provided by the MaaS Provider. Requirements The candidate must possess doctoral degree (PhD) in any
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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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, metabolism and microbiota. Our methodological approaches include cell cultures, animal models and randomised controlled trials. Responsibilities and qualifications We are looking for a motivated postdoctoral
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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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Researcher position: PhD in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as
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and polymeric materials, novel catalytic process, process control, and process systems engineering. Your experience and ambitions We are looking for highly motivated candidates with: Excellent PhD
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through a set of gates, the charge carrier density in a thin, doped Si region can be controlled, enabling the fabrication of gate-tunable silicide/Si/silicide junctions. Moreover, various techniques from
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). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants must hold a PhD (candidates who are in the final stages of completing their doctoral