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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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Science, or a related field. No experience required. Preferred Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate
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discipline whose research includes mechanistic studies relevant to human nervous system disease. The program is open to PhD, MD, or MD/PhD applicants seeking their first tenure-track assistant professor
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Jul 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5
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Researcher (R1) Positions PhD Positions Application Deadline 17 Aug 2026 - 17:00 (Europe/Amsterdam) Country Netherlands Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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7 Jul 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
projects. The student will work closely with the group leader and PhD students to implement and maintain computational mechanics methods that serve as the foundation for future research activities. Typical
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in tropical regions; analyze links between macrofauna and soil carbon; build/validate scoring algorithms using machine learning/cumulative functions. Outputs – Lead scientific, technical, and policy
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for the propagation of incoherent light, novel computational algorithms for solving inverse problems to retrieve denoised and high-resolution holographic recordings, and motion compensation techniques. In this PhD