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research environment with close interaction between experimental and theoretical activities. You will join a thriving community of researchers and benefit from a strong network of international collaborators
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organizational skills. Good communication skills and willingness to work independently as well as to collaborate with your colleagues and peers. Commitment to complete the PhD coursework (30 ECTS points) and
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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key
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with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental research infrastructure
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-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have the ability of working independently. Have a strong sense of responsibility. Research environment