12 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at University of Copenhagen in Denmark
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center headed by professor Eske Willerslev that brings together a highly interdisciplinary team of world-leading researchers with a shared vision of developing more robust, sustainable, and biodiverse
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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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supervisors displaying diverse neurotype constellations. This PhD project will develop, implement, and scale novel computer science teaching (e.g., programming, problem-solving, and algorithmic thinking) in
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. The research team consists of another postdoctoral researcher who will conduct comparative case studies of Germany and Denmark (WP2-3) and the P.I. Job Description In a context of multiple global crises–COVID-19
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of professional bodies, conferences and workshops, network-building, and further developing professional academic skills in research and academic writing. They will be effectively and constructively mentored by
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In a context of multiple global crises–COVID-19, increased inequality, and climate change–citizens are looking to political leaders and the state to solve problems and protect them. The increased role
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phenotyping, statistical modelling, and mechanistic simulation models. This particular postdoctoral position focuses on developing and implementing a novel faba bean crop module within the DAISY soil-plant
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represents a unique opportunity to participate in interdisciplinary and culturally comparative work covering China, Europe, and the United States, and to contribute to theory development on a strategic issue
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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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oligonucleotides entrapped in endosomes, develop methods for their efficient cellular delivery, and demonstrate applicability by targeting skeletal and cardiac muscle cells. The aim of the PhD project is to design