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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 2 hours ago
Job Code: LH-04-2024 Job Offer from June 13, 2024 The Department of Linguistic and Cultural Evolution (DLCE) at the Max Planck Institute for Evolutionary Anthropology (MI-EVA) in Leipzig invites
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oral. Proficiency in Norwegian (or another Scandinavian language) is an asset, but not a requirement. The successful applicant must however be able to teach in Norwegian within four years of his/her
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, both written and oral. Proficiency in Norwegian (or another Scandinavian language) is an asset, but not a requirement. The successful applicant must however be able to teach in Norwegian within four
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, molecular dynamics, mesoscale methods) is required. Equipment Utilized Experience with programming in an interpreted language (e.g., Python or MATLAB) is required. Experience with programming in a low-level
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) scalable and robust Bayesian experimental design, b) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). We proudly hold a Race
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programming language. Once a disease-causing gene variant is found, the researcher will work together with other experts in the team to establish in vitro cell models to validate the findings. The appointed
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to work collaboratively in a multidisciplinary research environment, and excellent communication and data analysis skills. The working language is English. Strong candidates have a Ph.D. in Genetics
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strong quantitative background. Experience in cell culture and animal studies are required. It is desired to know at least one programming language, such as R or Python. Knowledge in genomics, genetics
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to apply: - Organoid culture - Flow cytometry - Microscopy - Bioinformatics analysis Previous publications are considered a benefit. The working language in the Genander lab is English. What do we offer? A
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plant physiology, crop science or soil science Skills in phenotyping, thermal imaging, and remote sensing Data processing and analysis skills (programming language: R or other) A good understanding of