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. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching
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ideally be familiar with the UNIX environment (e.g., Linux). It will be desirable to have had previous experience in genetics, but not necessary. The applicants must be fluent in English, both oral and in
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departments in the Faculty of Natural Sciences at Aarhus University. The department houses several of the Danish National Research Foundation’s Centres of Excellence and carries out teaching for many
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. Additional Merits Experience in research proposal development and participation in externally funded research projects. Strong written and oral communication skills, with the ability to contribute to a
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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Experience with scientific programming Experience with scientific writing Excellent written and spoken English Interest in deep learning and Knowledge-Guided Machine Learning Interest in scikit-learn, PyTorch
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. Essential: Experience in sample preparation for cryoET studies and acquisition and analysis of cryo-EM data Knowledge of bioinformatics tools and data mining Good communication skills in English (oral/written
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experience with modern deep learning frameworks Solid understanding of applied statistics Experience working with large-scale image datasets Excellent English communication skills Desirable qualifications
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. The ability to read French, German and Italian. Please submit up to two publications for assessment. The status of each publication must also be stated (published/being published/in manuscript form
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. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching