33 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" Postdoctoral positions at UNIVERSITY OF HELSINKI
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for cryogenic electron microscopy (cryo-EM), light microscopy, sequencing, and proteomics. For more information, please visit https://www.helsinki.fi/hilife/bi Where to apply Website https
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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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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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emerging model for colour polymorphism, defence, and host–parasite interactions. Our group maintains >17 years of field data, >60,000 pedigree individuals, and well-established laboratory populations from
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, work experience (max 3 pages), list of publications and recommendation letter or contact information of at least two persons for references Copies of degree certificates and official transcripts
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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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publications (free format but numbered to indicate the total sum of peer-reviewed articles) FURTHER INFORMATION Further information about the position and the research project may be obtained from Dr Elina Einiö
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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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10th, or until a suitable candidate is found. Further information For informal inquiries, please contact: Dr. Caio Graco-Roza University of Helsinki, Lammi Biological Station Email: caio.roza@helsinki.fi
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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