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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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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
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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
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dedicated staff, high-performance optics, experiment setup instrumentation, control system and computing resources. The emphasis at MicroMAX is on serial crystallography, time-resolved experiments and studies
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of properties. The project will involve machine learning, and will be performed in close collaboration with the Department of computer science. We have a strong track record in the discovery of both 2D and 3D
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14 Mar 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Autonomic computing Computer science » Other Technology » Computer technology Researcher
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different educational programs: the Master of Science in Electrical Engineering, Renewable Power Systems (international master's program), the Physics Program (bachelor's program), and Physics (master's
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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a