18 computer-vision-and-machine-learning Postdoctoral positions at UNIVERSITY OF HELSINKI
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in biology, forest sciences, environmental sciences, or data sciences. A strong background or motivation to learn ecological genetics and evolutionary biology as well as competence in bioinformatics
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and Environment Research Programme The position is for a fixed term period for 2 years and available from September 2025 onwards (or as agreed). The position is based in the Ecology and Environment
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to conduct scholarly work and research both independently and as member of interdisciplinary research groups have ability of learn fast have motivation and capabilities to teach environmental life cycle
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skills and willingness to teach in the Faculty’s teaching programmes. A post doc teaches normally two courses per academic year. Qualification requirements PhD degree in law. Teamwork skills and the
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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sustainable policies for human flourishing. This includes identifying social and environmental inequalities, supporting inclusive social action and policies, informing learning and education, promoting
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. Applicants must have a doctoral degree in geography, geoinformatics, computer science, data science, or a related field. Advanced PhD candidates are also encouraged to apply, however the appointee must have a
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well as newly developed computational methods. You will report your results in a scientific publication as a first author with the support of other members of the group. Skills, experience/qualifications