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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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parallel computing systems. Familiarity with git and GitHub. Experience building pipelines for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent
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Work duties and responsibilities We are looking for two project assistants who will primarily focus on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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5 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Chemical engineering Engineering » Materials engineering Engineering » Mechanical
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: TH Technology and Health Magnetic resonance elastography (MRE) is a technique of magnetic resonance imaging (MRI) to estimate mechanical properties of tissues. Multidimensional diffusion MRI (MD-dMRI
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machine learning approaches Implement and manage workflows for large-scale data processing on high-performance computing systems Design and perform validation experiments through tissue imaging, molecular
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-precision . The DDLS Fellow-programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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-precision . The DDLS Fellow-programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels