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technologies. The successful candidate will have strong data-driven methodological learning opportunities with high social impact on cancer care organisation. They will work within an interdisciplinary team
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validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology
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knowledge on epidemiological and statistical methods To scientifically contribute to narrow evidence gaps in epidemiological and health research To acquire the ability to present results and methods
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MSc in Systems Biology, Molecular Biology, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have analytical
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory