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projects related to applying advanced analytics and/or machine/deep learning for supply chain optimisation. Note: candidates focusing primarily on Operations Research area are not an ideal fit
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the impact of two highly controlled, short-term lifestyle interventions. Through these interventions, the project seeks to achieve deep phenotyping related to insulin resistance, advancing our understanding
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the possibility of extension for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In
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, finite element simulation tools, path planning and slicing tools, etc.). Deep enthusiasm for conducting original research in an interdisciplinary and international team and strive for scientific excellence
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. Details about Copenhagen Business School and the department are available at www.cbs.dk . Closing date: 18 May 2025. Apply online CBS is a globally recognised business school with deep roots in the Nordic
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Key Responsibilities (in close collaboration with TU Munich): Develop a deep understanding of materials engineering principles to guide the design and functionalization of nanoporous materials
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candidate would have worked with electrodialysis systems already at the larger scale. Deep knowledge of different configuration choices for electrochemical systems. Knowledge of materials for electrodes and
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co-production of knowledge through deep expert- and stakeholder engagement. Collaboratively, you will be expected to engage in fieldwork, addressing key research questions related to ecosystem services
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school with deep roots in the Nordic socio-economic model. Our faculty has a broad focus on societal challenges, and we have earned a reputation for high-quality disciplinary and interdisciplinary research
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employed in the project. Our expectations of you The candidate should have a deep technical insight and experience in high performance computing, programming and structural optimization. The candidate must