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relating to the Ibero-American macro-region. The position is integrated into the research and teaching activities of the HCIAS′s “Society, Culture, and Communication in Ibero-America” department. Your tasks
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science, automation science, or a related field, and convincing expertise in robotic hardware. Experience with machine learning and large language models is highly desirable. Prior experience in a biological setting
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. Central to its objectives is the development of methods for culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large-scale / high-throughput
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. Central to its objectives is the development of methods for culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large-scale / high-throughput
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modeling. Central to its objectives is the development of methods for monitoring and culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large
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package Good communication skills in English (knowledge of German is not necessary) We offer Target-oriented individual further education and training opportunities Targeted training on the job Ticket for
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Proficiency in English, both written and spoken, with excellent scientific communication skills. German skills desirable Responsible and autonomous work-ethic What we offer Goal-oriented, individual training
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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databases is preferred A creative and problem-solving mindset, capable of translating complex datasets into actionable workflows and meaningful biological insights Excellent written and verbal communication
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of translating complex datasets into actionable workflows and meaningful biological insights. Excellent written and verbal communication skills, with a proven ability to collaborate effectively in a