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computational and data science capabilities in life science in Sweden. Through this program, you will also have access to extensive computational training and resources, including high-performance computing (HPC
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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across Sweden and beyond. At NGI, you will be part of a dynamic environment with access to a broad range of instruments, high throughput automation, and strong computational expertise (https
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TensorFlow or PyTorch. The selection among the eligible candidates will be based on the following criteria: The applicant’s documented knowledge and ability to perform high quality research within
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pipeline and implement it in a high-performance computing environment. Qualifications Requirements: A Master’s degree (or equivalent) in bioinformatics, biostatistics, computational biology, data science