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discrete spaces such as finite fields. You will conduct research using spectral methods in the theory of random walks and dynamical systems, and you will apply Fourier analytic methods in number theory. You
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impact that supports the climate resilience of at-risk populations in five African countries. If so, an exciting job opportunity is waiting for you! We are looking for a pro-active, analytical and self
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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fulfil the following requirements: a master’s degree a clear interest in the topic of the position excellent command of English strong and demonstrable writing and analytical skills capacity to work both
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understanding of thermomechanical principles Strong analytical and problem-solving abilities Motivation to engage in computational modeling, with interest in linking results to experimental validation About the
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expertise: experienced in analytical/clinical validation (LoD, LoQ, precision, linearity, etc). Solid understanding of cell culture and engineering (bacterial, yeast, mammalian) engineered biological systems
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scalability. Validation expertise: experienced in analytical/clinical validation (LoD, LoQ, precision, linearity, etc). Solid understanding of cell culture and engineering (bacterial, yeast, mammalian
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Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method Interest in working closely with experimentalists Strong cooperation and communication skills and
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with your supervisory team. This project will involve experimental design and require strong programming and analytical skills. Collaborate in a team: Work closely with other research project members
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written