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-¬‐ and mid-¬‐level roles in analytics (e.g. Analytics Managers, Data Analysts, Data Systems Developers, Data Scientists & Advanced Analysts), and data driven decision makers (e,g, CEOs and CIOs, Product
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manipulations. Assay Development: Support the development of cellular and biochemical assays to complement in vivo findings. Data Analysis & Interpretation: Analyze complex datasets from in vivo and in vitro
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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strong emphasis on publishing in leading academic journals and presenting at recognised conferences. You can read more about the Department of Management at: http://mgmt.au.dk . Contact information Further
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communication, an ability to work both independently and in teams, and a track record of publications Special Instructions Contact Information Michael McWilliams, MD, PhD Contact Email mcwilliams
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management and project writing. Experience in animal tracking research. Animal Handling Certification (Felasa C). Experience in tool development in digital twins. Proven experience in data analytics in R
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remote-sensing data from complementary projects funded through the UK’s Natural Environment Research Council. This fully funded PhD project is suited to candidates with a related research background with
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educational attainment. The ideal candidate will have a PhD in environmental media studies or cognate discipline. They will have strong qualitative analytical skills and be equipped to analyse how media shapes
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willingness to gain such expertise. Experience in conducting microclimate and environmental field measurements. Specific Requirements The information for the PhD admission is available at TalTech´s web-page
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the Principal Investigator in the Cancer Analytics and South Asian Health – Breast Cancer (CANSAH-BC) study. Work will potentially include communicating with study participants, conducting the interview, data