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, pharmacological modulation of signaling pathways, spatial gene expression profiling, and bioinformatic analysis. More about the position The main purpose of the fellowship is research training leading
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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description (the template is located at the bottom of the page in a separate Word document) An overview of relevant artistic activities Names and contact information of three relevant referees (can be provided
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with the world package 4 coordinator Professor Kristel Zilmer at Museum of Cultural History. The tasks of the researcher include: analysis and revision of available data, based on materials in the Runic
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statistical analysis and ecological data, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition
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multivariate data analysis, statistics, numerical simulations, and programming. Skills in academic writing illustrated by published works. Skills in Norwegian or other Scandinavian languages will be an extra
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brain and retinal organoids. Experience with design and production of AAV virus for gene therapy. Experience in single molecule analysis. Good communications skills. Good written and oral English language
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and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology, geography, soil science, or atmospheric sciences. Personal qualities: Strong academic drive
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
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to develop intelligent systems that are both data-efficient and physically consistent. The successful candidate will contribute to advancing novel methodologies that integrate domain knowledge with learning