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optimization using tools such as Lumerical FDTD, or equivalent simulation platforms. • Analyze device physics and process–performance relationships, collaborate with multidisciplinary research teams, and
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Fellow Apply for this job See advertisement Job description Applicants are invited for a three- or four- year Postdoc position at the Department of Education, University of Oslo. We are seeking a candidate
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the conversion of CO2 into value-added chemical products. Roles & Responsibilities: • Design, synthesize, and optimize catalysts for CO2 hydrogenation to useful chemicals. • Conduct catalytic testing
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science Neurosciences Mathematics Physics Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 10 Sep 2026 - 14:00 (Europe/Budapest) Country Austria Type of Contract
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, presenting work and writing manuscripts. Application Procedure Applicants should submit the following as a single PDF to [email protected] with the subject line “InfantNeuroAI fMRI Postdoc 2026
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, presenting work and writing manuscripts. Application Procedure Applicants should submit the following as a single PDF to [email protected] with the subject line “InfantNeuroAI MEG Postdoc 2026”: • full
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Johns Hopkins Medicine - Laboratory of Human Biomimetics | Saint Petersburg, Florida | United States | about 1 month ago
information for two to three references Use the subject line: Postdoc — Immunology and GVHD, or Postdoc — Bioengineering and Platform Technology Submit applications to mtrapec1 (at) jhmi.edu. Johns Hopkins
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publications, commercialisation, and/or dissemination as open-source designs. The ideal candidate might be from an academic (e.g. PhD/Postdoc in a related engineering/electronics/sustainable engineering area) or
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dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization