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into consideration. We are seeking applicants who have a PhD degree in machine learning, statistics, scientific computing, computational chemistry, applied mathematics, or a related area that is considered relevant
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of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and
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such as epidemiology, biostatistics, computer science, statistics, etc. We will also consider those with PhDs in other areas but who have advanced/relevant data science skills (e.g., machine learning
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to have: PhD in medical or health science with a focus on epidemiology, biostatistics, data science, or related topics Experience in handling large-scale health record data, such as Nordic register-based
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of the work will be based on the data reduction framework scipp (https://scipp.github.io ). Requirements Applicants must hold a PhD in physics, materials, computational science, or a similar area of science and
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you to contribute or even lead in analyzing, summarizing, and conceptualizing data/results and cooperatively write manuscripts. Formal Requirements PhD degree in Biology, Chemistry or Physics
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systems. Experience with GMAS, Python and Machine Learning libraries. Ability to communicate well, orally and in written, in English. Good collaboration skills and ability to build relationships and
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of the work will be based on the data reduction framework scipp (https://scipp.github.io ). Requirements Applicants must hold a PhD in physics, materials, computational science, or a similar area of science and