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Field
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, computational science, data science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in ecology, biology, applied mathematics, computational science
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assignments in engineering programs and master's programs. More information is available on our website. (https://kemi.uu.se/angstrom/?languageId=1).About the positionApplications are invited from
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quantify species interactions from acoustic recordings. Construct ecological interaction networks from the inferred acoustic data. Contribute actively to scientific discussions and collaborations
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is BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and
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funding for fieldwork and conferences, and room to develop your own research profile. Read more about being an employee at Lund University: https://www.lu.se/en/about-university/work-us Work duties and
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experiments. For more information about our group and current projects, please visit https://qtech.fysik.su.se/ . Main responsibilities The position involves Performing precision measurements and
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learning, programming, and analyzing visual data. Furthermore, you have the ability to work long-term and move projects forward even when challenges arise. You enjoy working towards results and
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at the page Vacancies at BTH ( https://www.bth.se/eng/about-bth/vacancies/ ). Meriting competencies and experience In addition to the requirements described in the work description, eligibility
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environment spanning soft matter physics, structural biology, nanomedicine, and advanced data analysis. The fellowship is funded through the prestigious AMBER Marie Skłodowska-Curie COFUND programme
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– Things for Politics’ Sake: Aesthetic Objects and Social Change (ERC grant 101041284), led by Dr Tintin Wulia (Principal Investigator/PI). Read more about HDK-Valand at: https://www.gu.se/hdk-valand The