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research area. GDPR statement about data use: The University of Copenhagen UCPH) is responsible for the data that the applicant enter when applying for at job using Mathjobs.org. Why do UCPH process your
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usually have components in all the disciplines: applied data analysis, development/application of advanced statistical methodology, coding of algorithms and computer simulation, and writing of research
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well-organized, self-motivated, result-oriented and capable of working independently in a collaborative setting You have strong analytical communication and computer skills Proficiency in spoken and
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recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/ . Interviews
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procedure After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then
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*************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max
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for collaboration on high-impact publications, networking with leading experts in business power and public policy, and participation in international research events. Application Process Submit a complete
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available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by clicking ‘Apply now’ below. The application
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– University of Copenhagen Our Research Veterinary Neurology is part of the Section for Diagnostic Imaging, Companion Animal Surgery, and Clinical Specialties, Department of Veterinary Clinical Sciences. It
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practices. Design, implement, and oversee field data sampling campaigns and experimental plots. Process and analyze ecological and forestry data using modern statistical and data-handling tools. Collaborate