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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science The project focuses on advancing species
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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) is responsible for supporting and providing assistance to SciLifeLab’s ecosystem regarding training. The position is located in Umeå, but we work distributed across Sweden, and you will have colleagues
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, molecular biology, computer science or related subjects the employer considers of relevance to the position Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high
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research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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areas, such as scientific and educational development, leadership development as well as patent and innovation support. The position is part of the SciLifeLab Fellows program and will be placed within
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diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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The Data Science and AI division of The Department of Computer Science and Engineering is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology
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-capacity computational resources, extensive biobanks and career support programs . In this tenure track position as Associate Senior Lecturer (DDLS Fellow) we are addressing outstanding junior scientists
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). Particular emphasis is placed on HPC-supported computing of sequencing data into assembled transcripts (de novo assembly is a frequent need), and further downstream translation of the ORFs of said transcripts