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Good written and spoken English skills Experience in the presentation and publication of research results Good communication and information behaviour, goal-oriented and structured way of working
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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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ensuring the technological transfer of research outcomes. This role requires significant contributions to publications and active participation in the scientific community. Main Tasks and responsibilities
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processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author peer-reviewed published
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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., RiPPs) Expertise in high-throughput screening assays is advantageous Familiarity with automated liquid handling systems is a plus Excellent communication skills for interdisciplinary collaboration and
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this project. This is a unique opportunity to study the signals that generate learning and potentially bridge a longstanding gap between how artificial and real networks learn. The Department of Neuroscience
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Engineering, or any closely-related field. Excellent communication skills in English, the ability to work in multi-disciplinary teams, and scientific creativity are essential. NYUAD offers a stimulating
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research and innovation to support education and sustainable development, UM6P boasts a state-of-the-art campus and infrastructure. It has built a robust academic and research network and is committed