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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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collaboration with clinical colleagues at the hospital. The successful candidates will be joining a larger team of cross-disciplinary cancer researchers, with the aims to identify mutational processes and clonal
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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through self-regulation, lobbying, and coalition-building. Key Tasks: Conduct comparative case studies of business self-regulation in wage policy (WP2) and climate policy (WP3) in Germany. Utilize process
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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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*************************************************************************** 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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– 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