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the candidate can start in autumn 2025. Background Our group develops and applies systems pharmacology strategies to design rational combinatorial therapies for cancer. We combine both computational (dry-lab) and
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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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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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, we study how actin operates in the nucleus to regulate nuclear organization and consequently nuclear processes. The successful candidate(s) will focus on the mechanisms by which actin regulates
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for nanoscale morphology analysis Familiar with mechanical and physical processing techniques such as ball-mill grinding and ultra-sonication for depolymerization Strong communication skills and the ability
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communication are regulated (1-3). The successful candidate will focus on the dynamics and molecular mechanisms of the Interplanar Amida Network (IPAN) – a membrane protrusion network – using a multidisciplinary
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identification over the period 2020–2026. The PhD project will be centred around computational community ecology, with cutting-edge analyses being conducted primarily using the methodological developments achieved
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written fluency in English is required. The duties include basic and advanced education and programme development in the key areas of software engineering. The duties related to the field of research
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intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets
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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