138 programming-"https:"-"https:"-"https:"-"I.E"-"UCL"-"UCL" Postdoctoral positions at Nature Careers
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research and teaching in the fields of marine evolutionary genomics and climate change adaptation. University-internal structures and programs, such as the Vienna Doctoral School of Ecology & Evolution
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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, bioinformatics, biomedical sciences, biostatistics, or a related discipline. Expertise in human genomic and transcriptomic studies and a strong interest in neurodegenerative disorders. Programming
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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research experience in wetland biogeochemistry Experience with stable isotope analysis and modeling Proficient quantitative skills with data analysis and programming in R An ability to collaborate within
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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venuesStrong programming skillsSolid mathematical foundation, including linear algebra, probability, statistics, and optimizationBroad and in-depth experience with machine learning algorithms and deep learning
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novel machine-learning methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning