915 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions in Sweden
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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: Experience in microwave measurements Experience in Artificial Intelligence and Machine Learning methods for microwave circuit design Experience in digital signal processing What you will do Take courses
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following areas: AI and machine learning, natural language processing, large language models (LLM), experience in designing prompts, fine-tuning LLMs, or distributed systems. Good knowledge in one or more of
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fields, where negative ions are the common denominator. In this vacancy the remaining position will be announced. Students enrolled in the program will acquire a comprehensive skillset that is relevant
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, and registry-linked outcome data. In this project, you will develop and apply AI-based methods (e.g. machine learning methods and many other methods) to harmonize historical and current pathogen
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collaborations, we build research and communication that advance ecology as a science and promote sustainable agriculture. More information about the department: https://www.slu.se/institutioner/ekologi/ Read more
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genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden
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prototype rigs, as well as circuit boards experience in using 3D printing systems experience from being responsible for computer networks or maintaining/updating software for computer-based control systems
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vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
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and supervise PhD students. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning and AI methods. You are expected to teach