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. We will closely cooperate with you and support your research activities. You will gain some experience with teaching and you will receive PhD-training within the Interuniversity Center for Social
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master project in experimental ultracold atom or trapped ion group; good team working skills; good English skills; experience with at least a few of the following: experimental work with optics, lasers
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interpreting complex datasets; experience with R or Python for (omics) analysis is a plus. Collaborative and organized – You manage complex experimental timelines and thrive in a multidisciplinary consortium
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, statistical or data modelling); experience with international collaboration and the ability to work effectively in interdisciplinary teams; experience with research dissemination – publications or conference
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discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
will combine microbiological experiments including molecular and analytical techniques to monitor microbiome dynamics and plant responses, with designing and engineering new release systems The work will
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staff, and has access to state-of-the-art research facilities to perform human intervention studies, cell culture experiments, and molecular analysis. In this project, you will work closely together
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the duration of a signal theoretically, in tight collaboration with experimental colleagues. The project requires interest in developing statistical physics, stochastic processes, or information methods, a focus
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where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just
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breeding programs and to support the reduction of methane emissions; a strong interest in statistical models, genomic prediction, and quantitative genetics, preferably with experience with one of more