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Field
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maintain a distributed environment for collaborative projects in machine learning (ML). The work involves collecting and processing data, setting up and configuring development environments, and providing
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Sapere Aude—dare to be wise—is our motto. Our students and employees develop knowledge and expertise that enrich both people and the world around them. Our academic environment is characterised by
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Sapere Aude—dare to be wise—is our motto. Our students and employees develop knowledge and expertise that enrich both people and the world around them. Our academic environment is characterised by
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Sapere Aude—dare to be wise—is our motto. Our students and employees develop knowledge and expertise that enrich both people and the world around them. Our academic environment is characterised by
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offer an ideal environment for a new biostatistician to develop and grow professionally and personally. The new biostatistician will collaborate with researchers in the areas of epidemiology, toxicology
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multidisciplinary academic environment, representing medicine (e.g., neurology, epidemiology, psychiatry, geriatrics), psychology (e.g., cognition, structural, functional, and molecular brain imaging), and social
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Unix/Linux environment. Additionally, the applicant must be at least familiar with R. Experience with mainstream machine learning and statistical methodologies. Experience with scientific code
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laboratory work. The applicant should have experience in energy and material balances, and either have experience with working in the AspenTech environment, or an interest in using the AspenTech environment
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absence, morbidity, work, and life situation. We offer an engaging and international research environment where you will have the opportunity to contribute to high quality research at international level
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programming tools such as R, STATA, SQL, Linux in a HPC environment and the like. Excellent written and oral communication skills in English are required. It is meritorious that the applicant has shown