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engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge of numerical methods for PDEs, expertise in High Performance Computing
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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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of numerical methods for PDEs, expertise in High Performance Computing and proficiency in a programming language. Excellent written and verbal communication skills in English, the capability to conceive, execute
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Swedish automotive industry stakholders, we will perform computational modeling of perceived safety and comfort zone boundaries based on in-project data collection from drivers. The modeling will be both
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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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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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Council through project 2024-04957 “Compiling General-size Linear Algebra Expressions using Equality Graphs”. The postdoctoral researcher will be part of the High-Performance and Automatic Computing group
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degree completed no more than three years before the last application date. experience with interdisciplinary research is a strong merit. experience with High Performance Computing is a merit. The
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aim to develop a predictive model identifying advanced HF patients at high mortality risk within a year. Additionally, we plan an intuitive interface, utilizing large language models to communicate