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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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engineering, antenna systems, signal processing, image analysis, automatic control, automation, mechatronics, and communication systems. With a dynamic and international environment of around 250 employees from
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Uppsala University, Department of Medical Sciences Are you interested cutting-edge genomics technologies and eager to contribute to developing methods at the forefront of life science? We
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, research and teaching are conducted in computer science, computer engineering, and informatics. We have two expanding departments in these areas, with around 50 employees. Your placement will be in
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Computer science, Biostatistics, Bioinformatics, Neuroscience, or similar field. Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization. Proficiency in
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on agricultural crops, forest trees, biofuel crops and model organisms. The Department of Plant Biology is located at the Uppsala BioCenter, which brings together departments with strong competence of international
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computational behavior modeling, vehicle automation, crash causation, and micromobility. We collaborate with Swedish industry (e.g., Volvo) and international stakeholders (EU projects; academia, industry). We
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opportunities. Read more here . About the STAR Lab Led by Dr. Hazem Torfah, STAR is part of the Computing Science Division within the Department of Computer Science and Engineering (CSE). Our interdisciplinary
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education at the department occurs in an international environment and is focused on animal biology. Outstanding and high impact research is conducted in a variety of fields, including evolutionary biology
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high