Sort by
Refine Your Search
-
of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
-
, and German language skills and previous experience with cooperatives and cooperation are considered as merits in the application. We provide Opportunities for professional development in an enthusiastic
-
3 Jul 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Computer science Mathematics Researcher Profile Leading Researcher (R4) Application Deadline 31 Jul 2026 - 00:00
-
Professor/Assistant/Associate Professor, Governance of Food Security and Pharmaceutical Preparedness
teams of the degree programmes. The professorship will also contribute to strengthening collaboration with the Faculty of Social Sciences’ new Master’s Programme in Societal Security. The position is
-
supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer
-
an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We
-
proposition depends on how high the risk of forming a false belief is. But what exactly is risk, and why is it of normative significance? In the research project ‘Metaphysics, Ethics, and Epistemology of Risk
-
development opportunities and benefits. The Faculty of Biological and Environmental Sciences is Finland’s largest and most high-profile and extensive hub of research and teaching in the field. The Faculty
-
the website and mailing list). Assisting in organizing events such as seminars conferences and workshops. We offer an opportunity to be part of a high-quality research team and to participate in international
-
LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets