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., proficiency in R, Python, ArcGIS) • Knowledge of forest and peatland biodiversity • Fluency in written and spoken English If you are proactive, committed, and efficient, you might be the ideal candidate. You
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expectations of the applicant We are looking for candidates who demonstrate: A solid background in remote sensing Strong computer and software skills, including proficiency in R, Python, and ArcGIS Knowledge
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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). Programming skills with Matlab, C/C++ or Python. Research experience in machine learning and artificial intelligence and/or inverse problem applied to imaging applications. Salary The position is fixed-term
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, nuclear structure, neutrino physics, and fundamental interactions. The nuclear astrophysics part of the research is related to the newly established Centre of Excellence in Neutron-Star Physics (https
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Centre of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and
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of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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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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pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion