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generation, software testing, architecture design, or other software process phases 4) integrating AI and machine learning into software systems 5) explainable and responsible AI models for software
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. The role includes teaching in the Bachelor’s Programme in the Languages and Literatures of Finland, the Master’s Programme in Finnish and Finno-Ugrian Studies, the Master’s Programme in Linguistic Diversity
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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
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to further infection in prokaryotic model organisms. The RNAcious laboratory, led by Dr Peter Sarin, is at the forefront of exploring RNA-based mechanisms that modulate protein synthesis in response to abiotic
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. To achieve this, we will model how both normal and cancer cells respond to CDK9 inhibition, and if the response can be augmented using immunomodulatory and / or other strategies. The project is divided so that
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, computational chemistry, or related fields, with focus on areas such as generative models, virtual screening, or AI-assisted research and workflow automation. The exact research scope is flexible, and the key
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author) in the field of computational biophysics (molecular dynamics simulations and/or quantum chemistry). Any experience in development and application of AI/ML methods in tandem with modeling and
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viral vectors, new food materials, improved food hygiene and enhanced human sensory experience. The Faculty of Science is looking for a researcher working in the intersection of computer science and drug
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degree in computer science or a related technical field or proven skills of applying machine learning models in conservation science or other environmental sciences. Be proficient in programming languages
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to further infection in prokaryotic model organisms. The RNAcious laboratory, led by Dr Peter Sarin, is at the forefront of exploring RNA-based mechanisms that modulate protein synthesis in response to abiotic