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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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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
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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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. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R or Python are highly desired. Personal qualities: We seek a candidate who is intellectually curious
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models, machine learning, and/or 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
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models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants primarily hinges on their documented academic qualifications and
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employees and over 70% hold a doctoral degree. We have 7 Bachelor’s programmes and 3 Master’s programmes offered. We have strong focus on R&D in energy, materials, and ocean/marine technology, state
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. Computational & Data Analysis: Proficiency with software such as FlowJo and GraphPad Prism is expected. Experience analyzing large-scale datasets (e.g., scRNA-seq, TCR/BCR sequencing) and familiarity with R