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analysis skills. The working language is English. Strong candidates have a master's degree in Biology, Mathematics, Physics, computer science, or a related field, with a strong interest in biological
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, Mathematics, Physics, Computer science, or a related field. Prior experience in integrating diverse datasets and developing computational tools for data analysis and Interest in designing and implementing
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science, or a related discipline and have a background in solid mechanics, applied physics and mathematics, computational sciences, or a related field. Additionally, you have prior programming experience
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cardiovascular diseases such as hypertension, ischemic cardiovascular diseases, and heart failure. Our group has great expertise in signal transduction of G-protein-coupled receptors, which are the most frequently
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be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical
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Sciences / Physics / Mathematics / Computer Sciences or a related discipline is required. Applicants must have obtained their Master's degree by September 2024 A strong foundation in analyzing large datasets
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a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory, numerical simulations and experimental implementation of pulse
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, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering, physics, or statistics. Geographical Eligibility: We are seeking candidates who are currently
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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Functional Theory (DFT), and coarse-grain DFT to run large-scale atomic simulations of the real structure of disordered solids. Your profile Project I MSc in Physics, Chemistry, Materials Science, Mathematics