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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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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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efforts. The Helsinki Lab of Interdisciplinary Conservation Science (HELICS) is an interdisciplinary and internationally recognized team with expertise in conservation science, geography, computer
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communication and collaboration. Finnish language is not required. Other requirements: PhD degree in Physics with excellent academic track records. Experience in biological, fluid, or soft matter physics research
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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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