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recovery that support real-time high-speed implementations. use machine learning to improve discrete modulation formats. develop MATLAB or python code. experimentally demonstrate the developed algorithms and
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physical modeling as well as multivariate data analysis, deep learning, and other machine learning approaches. Candidates interested in designing manufacturing solutions for medicinal products may consider
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Two fulltime post doc positions in Theory of machine learning are available. The post docs are under the supervision of Professor Kasper Green Larsen, Aarhus University, Denmark. The focus
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researchers across a wide spectrum of Interaction Design and Human-Computer Interaction topics. Teaching and supervision As postdoc in the DEEP project your position is primarily research-based, but it will
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damage on the environment, advanced skills in programming, machine learning and/or geospatial modelling are a clear advantage. A strong motivation for analytical research and excellent communication skills
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leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Your role, starting on July 1, 2024, will center on setting up, calibrating and analysing the pre-existing
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machine learning models, probabilistic modeling or other bioinformatic tools Any of the following features are highly desirable, but not strictly required: Experience with applied analysis of proteomics
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tools (webserver/package) Experience with machine learning Strong background in molecular/cellular biology Experience with analyzing large and complex datasets You must have a two-year master's degree
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communicating with end users and documenting their requirements Solid experience with full machine learning pipelines including feature design and selection, classification and validation. Experience in analysing
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
one or more of these additional criteria: Synthetic data generation Machine learning Large health register data GDPR compliance rules Python Linux Valued personal competencies are: Independent and