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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week
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. This highly innovative project is financed by the prestigious NWO VICI grant awarded to Prof. Matthias Barz and will be a collaboration between the Barz Lab (https://barzlab.com/ ) and the Pomplun lab (https
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. (Synthesis of complex polymer architectures will primarily be carried out by the partners in Dresden.) Where to apply Website https://www.academictransfer.com/en/jobs/360153/postdoc-position-in-polymer-bru
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to the fundamentals of spatiotemporal data science and machine learning using scripting languages. Supervise BSc and MSc thesis students conducting research in Geo-information Science. You will work here The research
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teaching and student supervision activities in areas related to your expertise. What we ask of you Your experience and profile A PhD degree in AI (e.g., machine learning, natural language processing
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Indicators 79: 114-121. You will be part of the WP3 team consisting of Prof. Jan Hendriks, Dr Wilco Verberk, Dr Aafke Schipper, and one PhD candidate, and also collaborate with the PhD candidates and
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in data-driven medical technologies? Are you keen on being part of a vibrant research community, working closely together with a research team and assisting with the supervision of PhD candidates
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builds on our recent works (https://www.nature.com/articles/s41467-025-65282-1 and https://www.nature.com/articles/nature20605 ). Join our team in the https://pomplunlab.com and https
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Intelligence, Applied Mathematics, Electrical Engineering, or a closely related field. You have demonstrated expertise in machine learning and deep learning, with experience in time series forecasting or related
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to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In this way, we contribute every day to a safer and more sustainable