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researcher who enjoys developing methods for complex biological data and working closely with experimental scientists. You meet the following criteria: a PhD, or a PhD close to completion, in machine learning
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scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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sediment management. This will be done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized
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-immune disorders, immunology, infections, and infectious diseases. Within the BioMS group you will work in the team and under the guidance of dr. Fabio Marino. Dr. Marino received his PhD in the BioMS
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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-immune disorders, immunology, infections, and infectious diseases. Within the BioMS group you will work in the team and under the guidance of dr. Fabio Marino. Dr. Marino received his PhD in the BioMS
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experiments; collecting, processing and analysing eye-tracking and pupil data; contributing to the development of new experimental paradigms for studying attention; collaborating with PhD candidates and other
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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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… Requirements Specific Requirements We are excited to welcome an enthusiastic new colleague who thrives in an interdisciplinary and international team and meets the following criteria: A PhD (obtained, or nearly