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Field
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, machine learning, or NLP Published work in reputable conferences or journals Outstanding academic performance in relevant modules or degrees A strong motivation to work on cutting-edge research in Agentic
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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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, assessment or longitudinal data. Designing experiments, surveys or quantitative evaluation studies. Applying statistical modelling, psychometrics or machine-learning evaluation methods. Working in
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Campus (LLEC). Development of physics-informed and graph-based machine learning methods for energy system monitoring, forecasting, and planning Data analysis considering uncertainties, missing data
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strong affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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. Designing and evaluating machine-learning models. Conducting quantitative research or statistical analysis. Working in multidisciplinary research environments. Preparing academic reports, technical
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of Data Science is one of Norway’s early dedicated academic environments in data science and applied machine learning. The department combines expertise in machine learning, statistical modelling
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workflows to implement such interactions into supramolecular hosts (pubs.rsc.org/en/content/articlelanding/2022/cc/d2cc00532h ). You will learn a wide range of molecular modelling and data-driven techniques
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-cell imaging, multi-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning