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. Qualifications Eligible applicants are required to have an M.Sc. or equivalent degree, which must be in a relevant field of research, such as molecular biology or cell biology, microbiology and/or virology
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relevant field of research, such as molecular biology or cell biology, microbiology and/or virology, biochemistry, genetics, or biotechnology, to provide applicable skills and knowledge. Prior experience in
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other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness
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aspects of the project, including analyzing near-Sun observations of CMEs and shocks, running three-dimensional numerical simulations to model the Sun-to-planet evolution of CMEs and their sheath regions
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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optimization of single-phase LCL filter inductors taking into account dynamic hysteresis models for different magnetic core materials. Supervisor: Prof. Paavo Rasilo (Electromechanics) Secondments: Université
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-on experience with (pressurized) chemical reactors Experience with modelling and simulation software (e.g. Aspen) Good organization and data management skills We expect the candidates to be able to start
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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a dynamic living environment. Tampere region is one of Finland´s three most rapidly growing urban areas and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial