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technologies such as sensing, data analytics, modelling, and AI to turn scientific research into real-world impact. You’ll join an open, supportive environment that fosters learning and professional growth. Job
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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principles for BGC expression and to support iterative AI-guided design–build–test–learn cycles. The precise scope of the doctoral project will be refined according to the candidate’s qualifications, the BGCs
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order
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to achieve them. Acquire new knowledge quickly and use existing knowledge in new ways. Work constructively under pressure or in the face of adversity. Demonstrate strong problem-solving abilities with a
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affected and shaped narrative traditions would be an advantage. The LCRSW is driven by a singular, transformative vision: to learn from the past in order fundamentally to change how the world understands
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | 2 months ago
, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment
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, such that other team members can teach and support them Desirable: Having taken courses on soft matter physics and/or chemistry with good scores Experience in research on liquid crystals, elastomers and/or
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selection criteria Knowledge/experience with control engineering, information fusion and/or data assimilation, marine technology Knowledge of and hands-on experience with machine learning and/or statistical
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Investigator at the Centre for Clinical Epidemiology at the Lady Davis Institute. Prof. Fontaine holds a Junior 1 Research Scholar award from the FRQS, supported by the Quebec Learning Health System Support Unit