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or more publications in a journal with IF. The postdoc is expected to advance the state of the art in neuro-symbolic machine learning (i.e., learning combining the principles of deep learning and logical
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AI|ffinity s.r.o. and University of Chemistry and Technology (UCT), Prague. | Czech | about 2 months ago
qualifications are not mandatory, but will certainly be advantageous: - Previous experience in molecular dynamics simulations. - Basic knowledge of NMR. - Prior experience in Machine Learning/Deep Learning
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-symbolic deep learning. The work will be at the boundary of computational logic and combinatorics. The postdoc can focus either on the theoretical side (characterizing classes of structures that can be
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Decision-Making, Deep Learning, Machine Learning, Global Information System, etc.) combining literature analysis, case studies, collaborative design, simulation modelling and real-world piloting. The initial
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skills. Strong laboratory/analytical skills to develop food ingredients and products. Deep understanding of food science and how ingredients interact, and the ability to apply this knowledge. DESIRED
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Rho GTPases, shedding light on a fundamental aspect of root hair development. Your Role: As a member of our dynamic research team, your mission will be to delve deep into the molecular machinery
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image analysis, computer vision, or deep learning. Expertise in Python programming and either TensorFlow or Pytorch. Knowledge of version-control tools and software engineering practices. Experience with