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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
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analytical skills and experience on omics data, and basic understanding of biology to study therapy resistance mechanisms and dynamics in ovarian cancer. Our research focuses on understanding and manipulating
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5 Sep 2026 Job Information Organisation/Company University of Vaasa Research Field Economics » Other Engineering » Electrical engineering Engineering » Systems engineering Engineering » Other
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, conservation biology, biology, environmental sciences, or another relevant field Strong quantitative and analytical skills, including experience handling and analyzing ecological or environmental data (in R
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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perception at the landscape scale under different scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable
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among migrant workers and in the platform ecosystem in Finland to examine how labour evolves in a transformed landscape of data-driven realities, how hierarchical power structures influence labour agency
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implementation and will be expected to complete a PhD monograph or article-based PhD based on the empirical material produced, as well as participating in project communications, collaborating with partner
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sustainability performance. Build mentoring skills by helping and advising PhD researchers. Lead and write peer-reviewed articles for high impact journals. Participate in events, give expert talks, support in