31 machine-learning "https:" "https:" "https:" "The Open University" "The Open University" Postdoctoral positions at UNIVERSITY OF HELSINKI
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, including how DNAme potentially drives trait variation and how it responds to the environment. We will use machine learning tools to perform high-throughput phenotyping of birch leaves – specifically stomatal
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physics and probability. Successful candidate will work with Prof. Antti Kupiainen on problems of interest to the Simons Collaboration on Probabilistic Paths to Quantum Field Theory https://probabilistic
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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-arriving-staff
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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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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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candidate will work with Prof. Antti Kupiainen on problems of interest to the Simons Collaboration on Probabilistic Paths to Quantum Field Theory https://probabilistic-qft.org/ . We welcome applications
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both in health and disease. The suitable candidate would need to have either degree or extensive experience in computational sciences. OUR RESEARCH Our group’s web page: https://www.helsinki.fi/en
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to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff You will be working in a stimulating and supportive research
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, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https
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the PI or another team member per year. Organise and participate in the international conference and contribute to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload