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programming languages (e.g., R, Python) and bioinformatics tools for data analysis is an advantage. Excellent communication and interpersonal skills, with the ability to collaborate effectively within a
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experience and interests, a full CV with a publication list, names of at least three references, and Ph.D. completion date. Review of applications will be on a rolling basis. The position will remain open
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scientific research findings Required qualifications Ph.D. degree in biomedical sciences or related fields Training or experience or willingness to learn iDISCO, Python, and whole brain activity mapping
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social science, or a closely related field is required. -Candidates with solid knowledge and experience in agent-based modeling (NetLogo), machine learning methods (Python), deep neural networks, or social
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data. · At least one year of research experience in transportation engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database
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technical universities in the world. With its strong research environment and close ties to industry, the school constantly scores well in rankings, currently listed as the strongest German business school
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to natcap_admin@stanford.edu (link sends e-mail) with “NATCAP POSTDOC CLUSTER HIRE” listed in the subject line. We will begin reviewing applications immediately and the positions will remain open until filled
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a