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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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relevant tasks. The department can offer postdocs who teach up to 20% of their working hours, the Teaching and Learning in Higher Education programme without hourly compensation. Qualification requirements
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screened, in relation to international research and innovation collaboration, as part of the employment process at the University of Copenhagen. The application, in English, must be submitted electronically
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programs including biosaline agriculture, native species valorisation, camel value chain, water and renewable energy. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular
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geographic information . This requires close collaboration with the German teams in the project. Make dissemination of project results and propose exploitation strategies for the developed models and tool(s
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Veterinary Epidemiology or related area and be familiar with R/Stata. Preferred Qualifications: DVM degree Excellent written and oral communication skills, ability to work independently but also in a team
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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Expertise and hands-on experience using LLMs, Machine Learning, Deep Learning frameworks, Natural Language Processing, etc. Proficient programming skills in Python and R and working knowledge in SQL Strong
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creating web-based pedagogical tools for secondary and college educators. Primary Duties and Responsibilities 1. Develop, plan and prepare lessons, training guides, and materials for a series of three
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab