18 coding-"https:" "https:" "https:" "Computer Vision Center" research jobs at Linköping University
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materials that underpin device operation (see https://doi.org/10.1016/j.joule.2023.03.002 for a recent example of this approach from the group). This project will be carried out in collaboration with the
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involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis, including
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Laboratory of Organic Electronics (LOE) at Linköping University, a world-renowned center for groundbreaking research in bioelectronics, energy devices, printed electronics, and nanooptics using organic
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medical images. Experience in computer programming. Preferred Qualifications Knowledge of 4D Flow MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in
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Demonstrated capacity to synthesise complex theoretical and empirical texts Demonstrated capacity to work with diverse groups and individuals Good computer literacy In addition, the following education
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Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https://www.liu.se/loe ) at Linköping University is a world-leading research environment in organic
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the Division of Molecular Medicine and Virology , Department of Biomedical and Clinical Sciences, at the Medical Faculty of LiU. The Lab is also part of the Wallenberg Center for Molecular Medicine
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) at Linköping University. More information about the activities at the department and unit can be found at https://liu.se/organisation/liu/tema/temam The employment The employment is a fixed-term
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and small, contribute to a better world. We look forward to receiving your application! Work assignments We are now looking for a postdoc at the Center for Social and Affective Neuroscience (CSAN
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workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network: https://redileep.eu