215 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in Sweden
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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processing using high-throughput experimentation (HTE), analytical tools and machine learning under CircuLab. The candidate will be dedicated to establish the unique functionality of the platform and should
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geometry etc. This is a highly active field with research groups around the world. In this project, you will learn to combine modern analysis techniques like Morawetz estimates with Penrose's Nobel prize
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of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources
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modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position
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of prior learning. For other eligibility requirements, refer to Karlstad University’s Appointments Procedure . Assessment criteria In the assessment, equal weight will be given to teaching expertise and
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machine-learning and high-throughput methods, to ab initio calculation of electrochemical reaction kinetics. The position is funded by the Swedish Energy Agency’s research program “Sustainable Battery Value
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, and data analysis. Communicates effectively in English, both orally and in writing. Is motivated, collaborative, detail-oriented, and curious to learn. Is interested in mentoring or collaborating with
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Master's degree in computer science, computer engineering, or equivalent. Demonstrate proficiency in English (reading, writing, speaking). Show the ability to work independently and in a team, as