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communication skills in English. A collaborative mindset and willingness to work closely with a parallel PhD track with a different methodological orientation, and to contribute to genuinely
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statistics/probability/econometrics, to be completed before the start of the project interests: you should have a strong interest in statistical theory, methodology and implementation programming skills
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preferably with a background in theoretical physics, statistical, soft or biological physics experience with using inference/machine learning tools and basic programming is a plus As a university, we strive
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/theoretical physics, soft or biological physics experience with programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe
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various aspects of experimental physics, including ultrahigh vacuum, CAD design, optics and lasers, electronics, and scientific programming. Your profile Master in physics or related topics Affinity for
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a bioinformatics background who enjoys software development. Master's degree (or equivalent) in Computer Science, Bioinformatics, Computational Biology, or a related field Strong programming skills
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with using inference/machine learning tools and basic programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that
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background in theoretical physics, statistical, soft or biological physics Experience with using inference/machine learning tools and basic programming is a plus As a university, we strive for equal
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VUfonds, we create extra space for distinctive education, innovative research and other initiatives of the VU. More than twenty colleagues work within DURF in three departments: Programming, Fundraising
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-spectroscopy, or advanced optics/microscopy experience or affinity with data analysis and scientific programming (e.g. Python, Matlab) strong motivation to work in an interdisciplinary research environment