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transcriptomic readouts from cells - already produced, using diverse sequencing methods including long-read nanopore-sequencing with a protocol developed by the group - with of machine learning methods. We aim
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Skip to main content. Profile Sign Out View More Jobs Postdoc in Computer Vision with Deep Learning for Material and Computational Design – DTU Compute Kgs. Lyngby, Denmark Be the First to Apply Job
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Skip to main content. Profile Sign Out View More Jobs Postdoc position: Integration of Electronic Structure Simulations and Data Science with Operando Visualizations of Single Nanoparticle Catalysts
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modelling in physical systems and life sciences. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models
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opportunities these signals offer for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and
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machine learning, experience in deep generative models, and programming proficiency. Postdoc in Game Theory for Sustainable Short-Sea Shipping – DTU Management Kgs. Lyngby, Denmark Posted on 03/07/2024 Two
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documenting their requirements Solid experience with full machine learning pipelines including feature design and selection, classification and validation. Experience in analysing neurophysiological data
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aimed at combining new computational methods and machine learning in an efficient search for new sodium ion battery cathode materials with superior performance, earth abundant elements composition, and
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technology studies (STS) with a focus on information infrastructures for territorial management. The postdoc position is affiliated with the research project Governance by Infrastructures funded by the Aarhus
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Seeking two postdocs for generative modelling in physical systems and life sciences. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning