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Field
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(IDFG) based sources extend deep into the mid-infrared wavelength range with unprecedented spectral coverage (2–11.5 µm). In our lab, we have recently demonstrated a system comprising an in-house built
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sensing, high-resolution plume modelling (MicroHH), and atmospheric chemistry transport models (LOTOS-EUROS, ECHAM-HAM). The focus will be on better characterizing fire emissions, smoke plume injection
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an exciting opportunity to join a leading consortium at the cutting edge of satellite remote sensing, high-resolution plume modelling (MicroHH), and atmospheric chemistry transport models (LOTOS-EUROS, ECHAM
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van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model
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models.
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, supervised by Dr. Tim van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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an interdisciplinary very active consortium called EVOLF. Job requirements Qualified candidates have a Master in physics, chemistry, engineering, or a related field. Successful candidates are motivated by a deep
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networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain disorders caused by mutations in eight genes that together drive the secretion of chemical signals
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be