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is advantageous knowledge and experience in evaluating scientific data, primarily from imaging techniques, is advantageous good written and spoken English teaching experience in the subjects of “Animal
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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degree of independence and commitment Very reliable and conscientious style of working Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be
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for diversity Desirable knowledge and skills include: o Understanding of the principles that define DNA, RNA, protein structures, functions, dynamics and interactions o Experience in plant work
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well as share research knowledge via teaching. Qualifications The candidate will hold a Master’s in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager
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oral presentations at conferences, writing high-impact journal articles, as well as sharing your knowledge via (a minimal amount of) teaching. Career development through many team activities is an
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journal articles, as well as sharing your knowledge via teaching. Qualifications The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious
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opportunities for cooperation with internal and external partners, supervision of Master students, giving oral presentations at conferences, writing high-impact journal articles, as well as sharing your knowledge