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knowledge within the realm of political science. They should be proficient in conducting quantitative analyses. Experience with large language models, machine learning, and/or programming in R or equivalent
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services in the region. This is a benefit both for teaching and research. The partners contribute with assignments, competence and resources. Responsibilities This research fellow position is part of the R&D
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programming in R or equivalent programs is an advantage but not a requirement. Alongside developing own research ideas, applicants should be capable of turning those ideas into well-structured and coherent
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. Responsibilities This research fellow position is part of the R&D project PHMHydro – Performance and Health Monitoring for Hydroelectric Powerplants . PHMHydro is a collaboration between the University of Agder
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/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious, creative, resilient, meticulous in their research, and has a
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analysis, bioinformatics or in a closely related field (a solid background in applied statistics must be documented) Documented extensive experience in R (or equivalent programming languages) A solid
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. Experience with relevant field work and lab analyses, as well familiarity with statistics (preferably R) and GIS tools will be emphasized. The applicant must be able to demonstrate/document
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(e.g., R or Python). It is an advantage if you have: Experience in area-based conservation ecology, marine system ecology, and/or ecology of sea ice-associated species. Experience in Marine Spatial
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of political science and be proficient in conducting quantitative analyses. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a
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should be proficient in conducting quantitative analyses. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The