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will work with the PI and lab members to apply newly developed tools and leverage unpublished datasets to design and execute rigorous functional studies in vitro and in vivo. In addition to developing
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, proteins) in the nanopores such as: Design and fabricate glass nanopipettes and characterise them by biomolecule translocation; Design, fabricate and characterize plasmonic nanopores on the nanopipettes with
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plan will be crafted based on the selected candidates’ strengths and interests. What kind of expertise are we looking for? Applicants must hold a doctoral degree by the start of employment and have the
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participation over the short, medium and longer-term. Essential criteria: Excellent social survey research skills, including the design and administration of surveys to multiple populations Excellent skills in
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development
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. Flexibility to design your own line of inquiry within colour, immunity, performance, and eco-genomics. Possibilities for collaboration within Finland and abroad. The University of Helsinki offers comprehensive
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and experience in crop physiology or related field. A successful candidate should be able to Design, conduct, and publish research within the scope of the project Contribute to undergraduate and
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(for example a research plan, awards, a valid English proficiency certificate, e.g., IELTS or TOEFL) Further information Home page of the research group: http://www.utu.fi/cyber For further information about the
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partners across Europe. The selected candidate will join a dynamic, interdisciplinary team and contribute to cutting-edge research in post-quantum cryptography. Responsibilities Design, develop, and
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, blending basic science, translational studies, and clinical innovation with state-of-the-art facilities for genomics, proteomics, and AI-driven discoveries. For more information, please visit https