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Postdoc Position in Explainable Reinforcement Learning Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 30
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data to uncover the key receptors and pathways that drive FDC function. This involves diving deep into complex datasets to reveal hidden mechanisms within these cells. You will also be responsible
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environmental degradation as violence; how it can make visible the deep historical roots that tie eco-violence to other histories of violence, especially colonialism and genocide; and how it articulates and
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with strong expertise in one of these categories: solid-state NMR; Quadrupolar solid-state NMR; Automated NMR analysis & machine learning; Lipid biochemistry (and chromatography knowledge in general
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change impacts or risk communication. It is an asset if you have experience with game-based learning or interactive storytelling. Our offer A postdoc position for one year; a working week of 32-40 hours
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cryo-ET is a plus, and a strong desire to learn this methodology is essential; a background in virology, particularly picornaviruses, is a plus; excellent problem-solving skills and the ability to work