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to use qualitative and quantitative tools to measure technological competition, as well as markets and patent databases, which will then be analysed using network analysis and machine learning. Empirically
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to substantive political science questions. You have strong skills in automated text analysis and natural language processing (e.g., machine learning including neural networks, relation and entity extraction
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of academic English The candidates are prepared to acquire a deeper background in Neoplatonic and medieval philosophy motivated to contribute to the overall goals of the project in close cooperation with
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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why
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in LaTeX and good programming skills (typically in one of R, Python, or Julia, with the capacity to learn). Familiarity with, and readiness to apply, the principles of open research, including code
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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member's task is strongly intertwined with the tasks of the other team members. You will design, train and apply generative models that learn how to complete missing wedges in the reciprocal space of crystal
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We