29 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at UNIVERSITY OF HELSINKI
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research planning skills. Rigor and precision are central to the experimental work planned. Ability to plan and carry research in the field environment. Excellent interpersonal and communication skills
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the project themes. Co-coordinating academic networks and events. Public dissemination of research results (e.g. via social media). Small-scale teaching tasks (10-20%) A more detailed research / work plan will
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development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion) in evolutionary biology, ecology, genetics, or related fields. Expertise in molecular genetics
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to immunity in populations, particularly in women’s health. The principal investigator (PI) of the project is Dr Elina Einiö. This position is part of the interdisciplinary consortium at the University
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Project: Statistical modelling the Evolution of Sex-Specific Differences in Life History and Immunity Supervisors: Dr. Elina Numminen, Faculty of Science, University of Helsinki, and Dr. Piret Avila
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POSTDOCTORAL RESEARCHER IN FUNCTIONAL COMMUNITY ECOLOGY / META-ECOSYSTEMS The Ecological Synthesis Group (ESG), led by University Researcher Dr. Caio Graco-Roza, invites applications for a
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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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
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have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is