36 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" research jobs at UNIVERSITY OF HELSINKI
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive
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quality research and participate in transdisciplinary research Proficiency with computer programming languages (Python, R or related language) The selected appointee must enroll as a PhD student at the
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opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Application should include the following documents as a single pdf file: a cover letter, a CV, a publication list the
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knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future. The work provides the possibility to develop skills in microbiology, data
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provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information
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- and stem cell biology, and great synergy with renowned research groups. More information on the IMMENS and open positions available at the Åbo Akademi University in Turku can be found here: https
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state-of-the-art facilities, cutting-edge expertise in vascular-, tumor-, immunological- and stem cell biology, and great synergy with renowned research groups. More information on the IMMENS and open
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to tolerance, movement, and interaction. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate across
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of the appointed researcher is - jointly with the research team - to design and conduct quantitative research, mostly on longitudinal register-based data on autoimmune diseases. Additionally, the researcher is
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules