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the division of Engineering Logistics, Department of Industrial and Mechanical Sciences. We have approximately 15 employees. Here we teach and conduct research in the field of logistics and supply chain
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an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates
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experiments; collecting, processing and analysing eye-tracking and pupil data; contributing to the development of new experimental paradigms for studying attention; collaborating with PhD candidates and other
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
data analysis and statistical methods # Interest in or initial experience with data-driven methods or machine learning is an advantage # Strong communication skills and a collaborative approach to
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome
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for professional growth through learning, collaboration, networking, and mentorship from Lilly’s leading scientists, aimed at facilitating groundbreaking discoveries. This position is not permanent. It is for a
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents
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experimental background and a demonstrated interest in building new measurement platforms are especially encouraged to apply. The selected candidate will work in a highly collaborative research environment