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twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
information to improve genomic prediction models. The selected candidate will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, PhD students, and Postdocs
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that we achieve world-class results together. Your research leadership is of utmost importance, and therefore you are an empathetic role model that foster and nurture inspiring environments, e.g. by
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tools. We additionally value expertise in behavioral measurements, neurostimulation, or computational modelling. While the scope of the position is broad, the new professor is expected to have a strong
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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with information on past human-non-human mammal relationships, paleoenvironments, past animal populations (biology) and on the subsistence economy of ancient societies. Such remains mainly correspond
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Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ The Luxembourg Institute of Science and Technology (LIST) is a
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, environmental engineering, pollution and remediation and sustainable practices), amongst others. This role can be in our New York or Shanghai offices on a hybrid working model. Responsibilities: Recruit, train
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis