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Field
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. There is a heavy emphasis on data-driven methods, for understanding content, for analyzing and predicting user behavior, and for make sense of context. We combine fundamental, experimental, and applied
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to sense and respond to mechanical signals (e.g., stiffness, shear stress), to initiate angiogenesis, and to form luminal vessels. These findings offer clues that can be used to better understand and to
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novel materials, tools, or artistic creations, humans instinctively explore the unknown in order to acquire information about it, to make sense of it, to act on it, and to appreciate what is in front of
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staff members and 3700 students gather to explore e exciting interdisciplinary research and educational programmes. Feel welcome, be part of our team and put your brilliant mind to work! FSE at
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directly applied. The knowledge generated by this project will contribute to making synthetic cells which are responsive to the environment. The general goal is to advance (mechano)sensing in synthetic cells
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that addresses craving for nicotine in urban environments. Specifically, we will develop and evaluate Quit Sense Amsterdam, a just-in-time context-triggered intervention aimed to support people who want to quit
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activities. If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and
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such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary geospatial or remotely sensed data. Quantifying uncertainty and correcting
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students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and
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, multimessenger astrophysics, and dark matter, and collaborates with LIGO/Virgo/KAGRA, LISA, and the Einstein Telescope communities. If you feel the profile fits you, and you are interested in the job, we look