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. The handling of unseen languages remains without real solutions, despite the research community having made a few practical excursions, such as using trash language models or confidence thresholds
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is part of the newly funded Research Council of Finland project Redefining Inner Boundaries in Solar Wind Models (RIB-Wind), led by Dr. Stephan G. Heinemann. The preferred start date is October 2025
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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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applied for 1-1.5 more years. The salary is based on level 2 of the job requirement scheme for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will
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trial period will be applied. During the initial contract period, additional funding will be applied for 1-1.5 more years. The salary is based on level 2 of the job requirement scheme for teaching and
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opportunities for professional development. The salary is based on the collective agreement followed by Finnish universities, with a starting salary 2 646 € / month. How to apply Please submit your application