23 machine-learning-"https:" "https:" "https:" "Computer Vision Center" positions at embl in Germany
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machine learning/AI with modern biology at the AI Hub Heidelberg as part of EMBL AI, a major institutional initiative to embed AI across all areas of life sciences. EMBL provides a unique environment for
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EMBL sites and some international travel. You have An advanced university degree in computer science, machine learning, mathematics, computational biology, or a related discipline Ability to design
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, please visit the facility website ( https://www.embl.org/groups/metabolomics/ ) that presents more information about the services, instrumentation, protocols, spectral library as well as video
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similar facility, preferably marine or aquatic Good interpersonal skills Ability to work as a team member in a complex environment Positive attitude towards learning and developing new skills High level
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similar facility, preferably marine or aquatic Good interpersonal skills Ability to work as a team member in a complex environment Positive attitude towards learning and developing new skills High level
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At EMBL, our vision is to create a more inclusive research and work culture that leverages diversity, in its broadest sense to enhance our role as a leader in the life sciences in Europe and globally
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independently as well as part of a team. Reliability, attention to detail, flexibility and a working knowledge of English are essential. Computer skills are desirable. Duties and responsibilities (as Team
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student enrolled in a recognised university pursuing a Bachelors or Masters degree in engineering, physics, mathematics or computer sciences and related discipline and/or an unaffiliated recent
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, may be required. You have: Education and qualifications: A bachelor's degree in computer science, information technology, or a related field Technical expertise: Extensive knowledge of IT systems
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translate EMBL’s strategy into a coherent strategic agenda for the Heidelberg site. Contribute to the long-term strategic vision for the Heidelberg site and EMBL more broadly, maximising the collective