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and computational skills for the experimental results using (spatial) statistical methods; A keen interest in performing multi-disciplinary work as part of larger research team; A passion and capacity
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experience and skills: master's degree/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding
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set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information
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field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge of econometric methods, statistical software (e.g., Stata or R), or experience with economic
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programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at Leiden University is a world-class
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sciences. Our teaching and research have a strong experimentally technical, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary methodologies. We
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sciences. Our teaching and research have a strong experimentally technical, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary methodologies. We
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addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is
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groups. Professor Bram Nauta’s Integrated Circuit Design (ICD) group focuses on various aspects of analog and Radio Frequency (RF) Integrated Circuits (IC). The group's motto is “fundamental solutions
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psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational modelling) or willingness to develop relevant skills (in