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of machine-learning algorithms for unmanned aerial vehicles; dissemination of the results in international conferences and journals; proposal writing for external funds. Your profile The successful candidate
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this date. Job description Recent improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate
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of the PostDoc project is to performreal-world testing of the shoulder device in healthy individuals and patients with upper limb movement disorders, as well as to develop the machine learning
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carriers within defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and
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this date. Job description Recent improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate
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, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning/deep learning
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to demonstrate the following qualifications: Computational social science/machine-learning techniques Large-scale data collection Large-scale text analysis Large-scale visual analysis Professional interest in and
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qualification, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning/deep
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background in modelling, optimization, and control approaches in energy systems, Research vision and potential Familiar with machine learning techniques Background in programming tools such as Python and Julia
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Natural Language Processing, Machine Learning, or a similar area. Expertise in large language model architectures and training paradigms (transformer models, fine-tuning strategies, RLHF, etc.). Interest in