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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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machine learning in order to release this information and make it available for scientists and conservation biologists around the world. The project aims to accelerate the identification and ecological
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collection has been the focus of concentrated digitisation efforts during the past eight years, including specimen photography. This new project seeks to harness this dataset using machine learning in order to
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Job related to staff position within a Research Infrastructure? No Offer Description Unleash the power of Quantum Machine Learning in SHM/NDT! Join us as a PhD student and revolutionize vibration-data
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Job related to staff position within a Research Infrastructure? No Offer Description Contribute to pioneering robotics research in bridging physics and machine learning for the control of continuum soft
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Organisation Job description The advent of modern machine learning (ML) methodology is accelerating scientific progress by streamlining research across disciplines. In chemistry, it enables
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collaboration with educators, subject matter experts on DR, and edtech designers, the role of the postdoc will be to: Design of innovative pedagogical methodologies for learning pathways that support self-paced
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the “Translator” work package within the core research programme of CropXR. Our goal is to develop computational methods to translate integrated plant models between species, combining machine-learning inferred
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of the research proposal funded by NWO, you can contact Dr. Mireille Post (m.d.hubers@utwente.nl; +31534891115). You can find more information about the section Professional Learning & Technology via this link
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modelling, wavefront shaping, and machine learning algorithms. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before 15 June