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Field
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-stage researchers in advanced data analytics, causal inference and machine learning related to health policy topics. Specifically, it is training them to evaluate real-world policy impacts. Focusing
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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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. Depending on the Research Educator's expertise, the stream may investigate topics such as: Using AI and machine learning to understand or address social challenges (e.g., health disparities, misinformation
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. Depending on the Research Educator's expertise, the stream may investigate topics such as: Using AI and machine learning to understand or address social challenges (e.g., health disparities, misinformation
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now Do you want to shrink the gap between artificial and biological intelligence? In this research assistantship you will work on the development of state-of-the-art machine learning approaches
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Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals are pursued by
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, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in international conferences and related