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The Wesleyan Media Project (WMP), in collaboration with Wesleyan University’s Hazel Quantitative Analysis Center (QAC) at Wesleyan University, is seeking a postdoctoral researcher in computational
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. The successful candidate will be a key contributor to a multidisciplinary co-design team spanning material science, computing, and electronic engineering, with the goal of enabling next-generation detector
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Postdoctoral Fellow – Computational Biology / Bioinformatics Focus: Multi
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will
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Framework Programme? Not funded by a EU programme Reference Number Marató 2022 Salut Mental Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a
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a flexible start date; the earliest appointment is April 1. The postdoctoral researcher will conduct experimental and theoretical/computational studies of viscous flow through deformable and swelling
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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soils, with applications in permafrost engineering, cold-regions geotechnics, and climate-driven ground processes. The postdoctoral scholar will lead applied modeling and data-constrained analyses using