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soon as possible thereafter. The salary will be based on demand level 5 of the national salary scale for the teaching and research staff of Finnish universities. In addition, a salary component based on
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear
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learning methods to analyze high-dimensional multi-omics data, including exposomics, genomics, shotgun metagenomics, glycomics, proteomics, and metabolomics, in the context of human health and disease
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studies in Finland. The doctoral researcher will have the opportunity to be part of developing novel ethnographically oriented methods to study the platformisation of service labour in Finland from both
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, the appointee will be paid a salary component based on personal performance with the overall starting salary amounting to c. 3700-4300 EUR per month, depending on the previous relevant research experience
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). Methodologically, the research project will be ethnographic, but the doctoral researcher is encouraged to engage with other methods, such as collaborative research. The appointee will play a key role in project
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Methods for Virtual Labs: Researching and constructing interactive agentic frameworks and virtual labs for expert human-in-the-loop auditing and alignment. Responsibilities: Lead research in large-scale
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Methods for Virtual Labs: Constructing interactive "virtual laboratories" where medical professionals can interact with, audit, and align LLM-powered medical agents with clinical guidelines
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technologies, develops new experimental methods, supervises doctoral researchers and other students, and prepares scientific publications. They will also have opportunities to develop independent projects and
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‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability