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Field
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an
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and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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) The special requirements are fulfilled by those who have completed a law programme and obtained the degree Master of Laws (juris kandidatexamen/juristexamen). The special requirements may also be fulfilled by
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Computer Science. Previous experience of working with SOA, IoT, SysML, ML, CPS and/or SoS is valuable but not a requirement. The applicant must also have good programming skills, including software design, basic
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international collaborations. The Department is responsible for courses in 14 of SLU's educational programs, such as programs in agronomy, a bachelor's program in biology and environmental science, a master's
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educational programs. Several of the programs are offered remotely, both nationally and internationally. Informatics also has independent courses as well as teaching and research collaborations with other
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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process and disseminate information about opportunities: from identification of suitable major calls and grant opportunities (especially international, and especially within the EU Framework Programme, now
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, manufacturing engineering or similar* Strong written and verbal communication skills in English A genuine interest, passion, and experience of taking on complex challenges and collaborating in diverse teams