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workshops and producing accessible toolkit resources, with a proof-of-concept focused on diabetes prevention for women of South Asian and Black African heritage. In parallel, the post holder will work
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
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facilities in this department along with the facilities in Micronova and OtaNano. OtaNano offers a wide variety of fabrication processes and equipment for micro- and nanostructures. The facilities cover a
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electrochemical interface science! LiNRR is a highly dynamic electrochemical process where Li plating/stripping, SEI formation, electrolyte/proton-source reactions. These co-evolve and directly influence ammonia
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degradation. The candidate is expected to have a strong background in biotechnology, enabling them to design new valorization strategies and process scale-up. The position will be filled for a fixed-term period
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of multiple medicines across cellular mechanisms in parallel, ensuring accelerated assessment of existing and new therapies. Improving our understanding of the cellular basis of disease will help bridge the gap
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open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period. Want to know more about us and your
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information on the available positions, please contact Prof. Tuomas Hytönen and/or Prof. Riikka Korte (riikka.korte@aalto.fi ) . In application process related questions, please contact HR Partner Johanna
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing