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replication are attractive new targets for antiviral drugs. The starting point of the project is a large proteomics dataset, so we are working with several novel host cell targets. The work could include
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of Helsinki offers comprehensive services to its employees, including occupational health care, insurance for work-related travel and occupational accidents, sports services at a reduced price, and
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large proteomics dataset, so we are working with several novel host cell targets. The work could include detailed virological, cell biological, or biochemical/structural characterization of the selected
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of the job requirement scheme for teaching and research personnel in the salary system of Finnish universities. Additionally, the appointee will receive a salary component based on their personal performance
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Council of Finland funded research project ‘Manicuring Intimacy: Feminised labour, (self-)care, and racialised encounters in nail salons’ (INTIMATE, 2025-2029). The position starts 1.1.2026 or as agreed and
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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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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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physics, with expertise spanning both observational studies and theoretical or computational modeling. It offers an international and collaborative work environment that values equality, diversity