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applicant. - The use of formal languages to specify and reason about distributed systems has been an object of intensive research. While verification support for these languages does exist, it is limited in
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difficult. This PhD research is envisioned to broadly follow one of three directions, but can be adapted to suit the interests of an excellent applicant. The use of formal languages to specify and reason
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techniques is recommended Knowledge of electrophysiology and analytic chemistry is an advantage Excellent communication skills in English and experience with scientific writing For this position your command
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data
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models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
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interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
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ability to design integrated and systemic solutions for key landscape challenges on the regional and local scale; You have: Knowledge of the Dutch landscape, including physical and social landscape
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have: An MSc degree in physics, or a closely related field. Knowledge of laser and optics, nanofabrication, electron optics is an advantage. General experience of experimental physics is preferred
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and Global Change group, with supervision by dr. Renske Hijbeek and prof. dr. Hananh van Zanten. The Plant Production Systems group combines production ecological theory with empirical knowledge