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years with the possibility of a 4th year with compulsory other work (e.g. teaching duties at the Department). The position is linked to the Centre for Deep Sea Research (CDeepSea). About the project/work
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-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models
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machine learning is a requirement. Experience with programming and app development will be emphasized. Personal skills, including independence, abilities to cooperate, a great work capacity and enthusiasm
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(for instance mathematics, statistics, medicine with a strong emphasis on computational and programming aspects). Experience in machine learning is a requirement. Experience with programming and app development
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computational and programming aspects). Experience in machine learning is a requirement. Experience with programming and app development will be emphasized. Personal skills, including independence, abilities
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different patients, challenging both our understanding of an individual underlying pathophysiology and our clinical planning of therapies. Recent developments in computational biology, machine learning, and
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clinical planning of therapies. Recent developments in computational biology, machine learning, and artificial intelligence make it possible to learn about these diverse pathways of disease progression from
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different patients, challenging both our understanding of an individual underlying pathophysiology and our clinical planning of therapies. Recent developments in computational biology, machine learning, and
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been standard for several decades, but inspired by new student-active teaching forms, the department has initiated several study quality projects aimed at increasing students’ learning outcomes. In
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(BEM) is an advantage. Experience with either scientific computing or numerical optimization is an advantage. Experience with unsupervised machine learning is also an advantage. Applicants must be able