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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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Important for this Position: Practical experience handling large Swedish national registers (population-wide data). Documented expertise in R or equivalent statistical software. Strong experience with SCCS
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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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. Documented experience with any project in the blue bioeconomy domain, with Life Cycle Assessment, and with programming for data science(R, python) will be considered a strong plus. Proficiency in English is a
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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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-induced cardiotoxicity (AICT) and heart failure with preserved/ reduced ejection model. References: Kehr D, Ritterhoff J, Glaser M, Jarosch L, Salazar R, Spaich K, Varadi K, Birkenstock J, Egger M, Gao E
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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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, 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
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, collection and analysis of social media data, experience with R or Stata) is an advantage. For the assessment of personal suitability, we place particular emphasis on good interpersonal skills