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Social Science, or related field; has strong affinity with the study of families and economic inequality; has experience with both quantitative and qualitative research (or is motivated to learn both types
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applicant will generate high-impact research by applying state-of-the-art deep learning, molecular modelling, and GPCR pharmacology to accelerate drug discovery for dementia treatment in postmenopausal women
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of the deadline for the respective stage. Other applicants from these two stages will receive the admissions decision together with the applicants from stage three. Applicants from the third stage will learn about
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, chemistry, and be willing to learn new disciplines and innovate to achieve the project goals. Additionally, ideal candidates would also have interests in areas such as: 3D printing, materials sciences
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are educated in a stimulating learning environment. Upon graduation, they have acquired the knowledge, insight and skills to make important and inspiring contributions to an increasingly international society in
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based on scientific research at the intersection of the Humanities and Social Sciences. Our ambitious Dutch and international students are educated in a stimulating learning environment. Upon graduation
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learn experimental and computational approaches to tackle fundamental biological questions with medical relevance using innovative system-wide techniques. You will work on an exciting multidisciplinary
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of the operation of helicopter systems. • Confident handling of Python and common data science tools. • Knowledge of high-performance computing and machine learning. • Fluency in written and spoken German and
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quantitative subject Be excited about the opportunity to work with a non-academic partner (Adfree Cities) to bring about real-world impact of their research Be comfortable using and learning about quantitative
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quantitative research and data analysis, with openness and desire to learn and apply diverse data sources (e.g., lab and survey experiments, surveys, administrative microdata) and methodologies (e.g., multilevel