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Field
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance
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of these approaches quickly, in a data-based and reliable manner. Your main tasks include: Method development: you compare and decide on methods of Machine Learning (ML) and Artificial Intelligence (AI), such as
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(Master's or University Diploma) in a relevant discipline (Computer Science, Aerospace Engineering, Mechanical Engineering, Physics or similar). Sound knowledge of the fundamentals of Machine Learning, as
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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design What We Offer Technically deep, architecturally open work that directly enables cutting-edge machine-learning research Flexible working hours and the option to work partially from home Working in
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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology , headed by Prof. Dr. Karsten Borgwardt, invites applications for a Postdoctoral Research Fellow
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, Mathematics, Physics, or a related discipline Excellent programming skills in Python and/or R Strong expertise in machine learning, deep learning and predictive modelling Experience working with multimodal
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uncertainty, since misclassifications can lead to poor energy management decisions or inappropriate building automation responses. The goal of this project is to design and validate a machine learning framework
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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deep learning Familiarity with common neural network architectures, including Transformers, 1D Convolutional Neural Networks (1D CNNs), and related models Solid understanding of fundamental machine