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Field
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equivalent to a two-year master's degree. Additional qualifications include: Good programming skills in Python, Julia, R or similar, and familiarity with C, C# or C++. Curiosity and interest in future urban
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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L, Salazar R, Spaich K, Varadi K, Birkenstock J, Egger M, Gao E, Koch WJ, Katus HA, Frey N, Jungmann A, Busch CJ, Mather PJ, Ruhparwar A, Voelkers M, Wade RC, Most P: S100A1ct: a synthetic peptide
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qualitative methods; some background in or willingness to learn computational social science methods as well as R and/or Python is highly desirable. Willingness to develop an ambitious empirical research
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that provide analysis of both liquids and gasses. The successful candidate is expected to spend approximately 50% of the time at TOPSOE R&D, located in Lyngby. Principal supervisor: Professor Jan H. Christensen
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longitudinal analyses preferred but not required), including independence with use of SAS, SPSS, and/or R software Ability to efficiently multitask and meet deadlines Skill in taking initiative, assuming
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Familiarity with software such as R or Python Some experience
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, science-led biopharmaceutical company (www.astrazeneca.com ). At the Gothenburg R&D site, there are over 2 400 employees from more than 70 countries to deliver innovative medicines. Data-driven life science
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: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and