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Experiment (PRIDE) Doppler/VLBI data: open-source analyses in orbit estimation and ephemeris improvement. Job description We are seeking a highly motivated PhD candidate to strengthen the scientific
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of Technology and one part-time professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The text
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and its effect on the whole system. The second approach makes it challenging to isolate which module may be failing and how to zoom in on the part of the system that is the root cause of the failure
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watching, and curate an open-source dataset based on these measurements; Benchmark existing and novel video-AI models on the neural dataset using representational aligment techniques such as RSA and encoding
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of writing; You have an interest in / affinity with colonial history and languages; You have experience with or are willing to learn about early modern archival sources; You have full professional working
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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models to analyze multimodal video data (facial expressions, tone, behavior, and speech) for dynamic wellbeing assessment. You will work with open-source datasets as well as video material from
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responsibilities include: Development of a flood classification framework for flood type prediction Comparison of different ML algorithms in a sensitivity study Communication with stakeholders Development of open
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stakeholders Development of open source programme code (preferably as a software package) Exchange within the VIDI project to embed the results in flood prediction You will work here We are the Hydrology and
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) ranks among the best in the world. Our members publish their research in top journals in marketing as well as related fields. They deeply care about open science practices (e.g., data sharing, open-source