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teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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the position, but up to no more than 20% of working time. Teaching may involve course student lab supervision, tutoring of problem-based learning, or lecturing. The position includes the opportunity for three
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with experimental collaborators from The Royal Institute of Technology (KTH) and Stockholm University. Where to apply E-mail registrator@itn.liu.se Requirements Research FieldChemistry » Computational
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universitetCountrySwedenCityLundGeofield Contact City Lund Website https://www.lu.se/vacancies STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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as a first career step after a dissertation. Contact E-mail: kathlen@kth.se Others For information about processing of personal data in the recruitment process. It may be the case that a position at