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for the organization of the human within its multiple environments: work, nature, economy, civil association, the state, and corporation. BHL also participates in numerous interdisciplinary cross-CBS
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industrial ecology, sustainable resource management, life cycle assessment and green transition strategies Excellent experience in (dynamic) material flow analysis, including modelling development and
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to develop novel and ready to deploy technical solutions in a transdisciplinary manner. SDU HIT has a large portfolio of transdisciplinary projects involving numerous partners from healthcare, academia
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involving modelling, estimation, and control of advanced robot systems. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners
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for resilient high-mix low-volume manufacturing. The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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learning applied to operations and supply chain management Data-driven demand forecasting Inventory management Time-series modelling Required skills Fluency in either Python, R, or the like Should be able
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demonstrating high-performance devices: Numerical simulations, device fabrication in the cleanroom (relying on international partners), and device characterization (relying on the facilities in the CIE lab
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of the following topics: Analog signal processing and circuitry Programming skills (particularly in C++, Python and ROS) Algorithms (statistical analysis) Electrode-tissue interface modeling Robotics (e.g