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. The ideal candidate: Holds a PhD (completed or near completion) in a relevant field (e.g., sociology, organization studies, anthropology, STS, or other social science) Has experience or a strong interest in
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. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. The appointment is a fulltime position and is made
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within a multidisciplinary research environment spanning two Nordic countries, with active groups in Helsinki and Oslo. The position is open to applicants with a PhD degree in computational biology
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primary workplace is the Ruralia Institute in Mikkeli, with the possibility of hybrid work (within Finland). The University of Helsinki offers extensive networks, a multidisciplinary work environment
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primary workplace is the Ruralia Institute in Mikkeli, with the possibility of hybrid work (within Finland). The University of Helsinki offers extensive networks, a multidisciplinary work environment
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should hold a PhD degree in molecular biology, biochemistry, cancer biology or related fields. Expertise in biochemistry, transcriptomics, NGS data analysis and basic programming in R/Python is a pre
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in accordance with global and EU policies. The position is part of the BIOBANG project at the University of Helsinki, which explores the relationships between indirect and direct drivers
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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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available immediately with flexibility on the starting date. The position is initially for 1 year, with the possibility for extension through application for further funding by the applicant and PI. Our
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funded by the Research Council of Finland, Sigrid Jusélius Foundation, the Digital Precision Cancer Medicine Flagship (iCAN), and among others. Your mission To qualify, applicants must hold a PhD in