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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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for teaching and research staff at Finnish universities. In addition, a salary component based on personal work performance will be paid (a maximum of 50 % of the job-specific component). The starting
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the dynamics of therapy-resistance by combining advanced molecular biology method development to multi-omic single-cell analyses of both ex vivo models and clinical tumor specimens. Our novel, in-house
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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