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. Additional Qualifications: Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi
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animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a rich theoretical and computational environment supported by the Multimodal Language Department.Requirements
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) Country Germany Application Deadline 16 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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) Established Researcher (R3) Country Morocco Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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of high-performance materials for green hydrogen production and energy storage. · Perform detailed STEM analyses on project-related materials provided by NEXPECH₂ partners, contributing directly to the
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Position Summary The UCF COM Department of Medicine’s Aerospace Medicine program invites applications for a highly motivated and creative Postdoctoral Fellow to support the development of protocols
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materials for applications in soft robotics and wearable computing and such other tasks that are assigned to you. Core Responsibilities: Responsible for performing independent research Responsible
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
for an experimental Postdoctoral Research Associate. Our group’s activities focus on the Spin Physics program at Jefferson Lab and other accelerators. We operate a Dynamic Nuclear Polarization Lab with full
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC