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researchers access to a broad and diverse research network spanning AI, computer science, mathematics, engineering, physics, and the life sciences . What we offer A structured three-year PhD program
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Multimodal Machine Learning for Protein and Metabolic Engineering towards Sustainable Biomanufacturing (S3.5-COM-Zhou) School of Computer Science PhD Research Project Competition Funded Students
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Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering
students We are looking for a candidate who: Holds a PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or a closely related field Has strong theoretical and
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engineering, developmental biology, or computational biology are particularly encouraged to apply. Previous experience with plants is not required.
If you are interested in this project, please -
research spanning process engineering, power engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD fellowship at AAU Energy
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, TOEFL, IELTS, or equivalent) is considered an asset. For the Postdoctoral Candidate You hold a PhD degree in Engineering, Materials Science and Engineering, Chemical Engineering, Mechanical Engineering
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). The PhD project would suit a student with a background in computational modelling or engineering. The student will develop computational models that simulate neural pathways for motion vision in
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Safe Machine Learning for Nonlinear Control: From Theory to Experiment (S3.5-ELE-Selivanov) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide
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in mechanical engineering, materials science, computational engineering, manufacturing engineering, or a related field. Have a strong background in CFD and multiphysics modelling, including experience
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Job Description Recent advances in machine learning and deep learning are opening new possibilities for computational imaging, including the reconstruction of complex 3D structures from experimental