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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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× 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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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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. 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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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
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methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models, and programming proficiency. Page Postdoc in Modeling Events in Connected Human Lives
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, and machine learning to improve protein function. Interest in entrepreneurship to make a positive impact on planetary and human health. We offer DTU is a leading technical university globally recognized
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improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate the role and mechanisms of receptor