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(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US
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(MDSI) is an integrative research institute at the Technical University of Munich (TUM), with an interdisciplinary and cross-faculty focus on data science, machine learning, and artificial intelligence
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outstanding researchers with a strong track record of advancing the state of the art in machine learning and potentially its application to biology and biomedicine, with the ambition to build an internationally
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the results In addition, you will use algorithms to extract surface characteristics such as roughness, waviness, and contact ratio from the collected data Furthermore, you will develop a machine learning model
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based on our own machine learning models and it supports research in our field. The system consists of a multi-node environment, with an Elasticsearch database, data pipelines in Go and Python Data is
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Learning, especially in spatiotemporal modelling, environmental data analysis, or multimodal learning, Practical experience in applying Machine Learning, ideally including deep learning, foundation models
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, Süddeutsche Zeitung). Learn more about our research at www.erturk-lab.com . We are seeking a highly motivated AI Scientist (best: Computational Pathologist / Machine Learning Scientist for Digital Pathology) (f
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societal actors, including scientists, local administration, coastal communities, and other decision-makers apply skills in data science, advanced AI interface development and machine learning to apply
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packages for machine learning. You are not afraid of learning new technologies and frameworks. You enjoy developing prototypes. You are independent, creative and curious and you can work independently. What
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engineering, or a related field Strong expertise in computer vision with a focus on modern 3D reconstruction techniques Extensive experience with PyTorch: confident training of machine learning models on single