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breeding programmes to promote drought tolerance (by them using microbes more effectively). The candidate in this position will be responsible for applying statistical learning approaches on barley genome
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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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, students, and academic staff to gather feedback and insights on the use and effectiveness of AI-driven educational tools. - Stay abreast of advancements in AI, machine learning, and computational
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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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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
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. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models, and programming proficiency. Page Postdoc in
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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