22 animal-activity-recognition Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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for separately: www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https
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your findings in international scientific journals and international scientific conferences help in supervising student(s) working in the project Your work may also include teaching duties (at most 5-10
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to teaching or supervision duties. Requirements The successful applicant should have a doctoral degree in statistics, mathematics, machine learning, or other relevant field, and experience in developing and
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will play a key role in project implementation individually and jointly. In addition, postdoctoral researcher will actively contribute to teaching and administrative tasks in the discipline of Economics
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-environment relations. Additionally, the researcher will actively contribute to teaching and administrative tasks in the Department of Sociology at the University of Helsinki (up to 5% of their working time
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researcher will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based
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curiosity-driven working culture. The research activities are carried out in research groups joined into three multidisciplinary research programs. The Institute hosts several shared research infrastructures
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and research personnel in the salary system of Finnish universities. For a postdoctoral researcher, the starting salary is typically 3800-4050 euros/month, depending on the appointee’s qualifications
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the benchmarking of continuum modeling code together with GTK. Take part in dissemination, outreach, and teaching activities. Profile of the candidate PhD in relevant field (Physics, Chemistry, Geology, Fluid
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. We develop machine learning methods tailored for high-dimensional, multimodal biological data, with applications ranging from single-cell genomics to real-world clinical datasets. We are active