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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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at www.healthtech.dtu.dk/Isoform-Analysis . Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers
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background and the group at www.healthtech.dtu.dk/Isoform-Analysis Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases
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from MRI and MEG modalities, with the goal to publish in a peer-reviewed journal. Moreover, you will be involved in the design and implementation of novel machine learning techniques, utilizing both
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× Similar Jobs PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute Kgs. Lyngby, Denmark Posted on 03/20/2024 Trending Do you want to a career in machine learning research, and are
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. The ideal candidate is expected to have a very strong background in machine learning and must have a PhD in machine learning (or a closely related topic). Furthermore, the candidate must have experience with
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applicant will be expected to teach in English. Qualifications Applicants must have a PhD degree or document equivalent qualifications in a relevant field related to STS, information studies or neighbouring
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and life sciences. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models, and programming
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analyses using Danish register data and/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning
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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