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activities at IMPA between January and September 2027. To submit your application, click on the following link: https://candidaturas.impa.br/eventos/562/inscricao For English language, click on the “EN” icon
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functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National
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challenges to transition our UV-CVD prototype into a scalable 200mm/300mm commercial alpha tool. This technology solves the critical interconnect RC-delay bottleneck in sub-3nm advanced CMOS nodes and has
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skills in MATLAB, Python, or R. Experience with surgical procedures and in vivo recording techniques (e.g., electrophysiology or calcium imaging). Compensation and Benefits Salary: Commensurate with
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University of Maryland School of Medicine, Baltimore | Baltimore, Maryland | United States | 3 months ago
advanced flow cytometry, genomics, imaging, and animal research resources. Postdoctoral fellows will receive strong mentorship, opportunities for career development, and support for presenting their work
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) Lightweight DLT-backed credential gateway architecture for constrained IoT devices ii) Prototype implementation based on existing SSI and DLT components iii) Scalable evaluation environment and a complete
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achieve outstanding performances in recognizing objects in an image, inferring their relationships, and generating image descriptions in natural languages. They're ideal for tasks like image captioning
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are also strongly encouraged. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidates for this Research Fellowship will have a strong background in a relevant
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effects enabled by nanophotonic platforms, including superradiance, superfluorescence, and quantum imaging. Study strong light-matter interaction in the single-emitter regime and optical spectroscopy
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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image