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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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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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to the life sciences Experience in large-scale computing and/or organizing large datasets in the life sciences Proven ability to independently author scientific publications Excellent communication skills in
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learning applied to materials science Experience in large-scale computing and/or organizing large datasets in materials science Proven ability to independently author scientific publications Excellent
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education will be specified within the individual PhD study plan. Qualifications In order to be eligible for employment you must have a master’s degree in the subject of computer science, technical physics
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X-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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software engineering originated from 1990 when we launched Sweden's first education programme in software engineering. The department's research and education environment, SERL Sweden ‒ Software Engineering
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. The team is lead by Associate Professor Jinhua Sun . About the division As part of the Division of Materials and Manufacture at the Department of Industrial and Materials Science (IMS) , you will contribute
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of Agricultural Sciences (SLU) in Uppsala, Sweden. The postdoc will join a stimulating and dynamic research environment and an extensive national and international network focusing on sustainable agriculture. We