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capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond
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across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate
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field, and have strong analytical and problem-solving skills. Prior experience in have experience in valuation of ecosystem services is considered as a strength. Excellent written and verbal communication
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mouse models (handling, treatment, phenotyping) ⦁ Experience with stem cell research and microscopy ⦁ Strong analytical skills and familiarity with data analysis tools ⦁ Highly motivated, and
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. Working Language is English Experience with an analytical tool (R is the preferred language but equivalent languages are also fine). Personal attributes and competencies Excellent analytical and innovative
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emerging model for colour polymorphism, defence, and host–parasite interactions. Our group maintains >17 years of field data, >60,000 pedigree individuals, and well-established laboratory populations from
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11 Dec 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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of biosensors into microsurgical training, developing a robust framework for data collection, and advancing performance analytics. Together, we shift how we train, observe, and understand microsurgical expertise
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related field. Strong knowledge of cryptography, algorithms, or information security (knowledge of post-quantum cryptography is a plus). Excellent analytical and problem-solving skills. Interest in
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, or information security (knowledge of post-quantum cryptography is an asset). Strong publication record in a relevant field. Excellent analytical and problem-solving skills. Interest in collaborative research with