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dynamics, Numerical Modeling, Scientific Computing, Applied Mathematics, Computational Chemistry). Experience in reactive transport modelling and strong background in reactive transport processes. Experience
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Start date: Autumn 2025 Duration: 3 years, with a 1-year extension negotiable Location: Department of Computer Science, Aalto University, Helsinki, Finland Apply: Applications reviewed on a rolling
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suitable candidates are identified. For additional information, kindly contact Prof. Mika Sillanpää, Mika.Sillanpaa@aalto.fi . Aalto University reserves the right for justified reasons to leave the position
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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the intersection of computer science and drug research, to support strategic focus on the use of AI in scientific research within the general area related to drug security. The position is at
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advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning, computational chemistry, or related fields, with
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) Expertise in sustainable software engineering practices, tools, and methods with a focus on integrating sustainability across all phases of the software development lifecycle (agile software development, CI
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Neuroscience and Biomedical Engineering We are looking for a professor who has experience in and passion for both experimental human imaging neuroscience and the related analysis and interpretation methods and
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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact