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27 Aug 2025 Job Information Organisation/Company DIFFER Research Field Engineering » Electrical engineering Engineering » Electronic engineering Physics » Applied physics Physics » Electromagnetism
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The Dutch Institute for Fundamental Energy Research (DIFFER) performs leading fundamental research on materials, processes, and systems for a global sustainable energy infrastructure. We work in close partnership with (inter)national academia and industry. Our user facilities are open to...
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the combined themes of human-computer interaction and critical computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Soft electronics. The post holder will be located in West Cambridge, Cambridgeshire, UK. The role
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD) as well as sample preparation using a focused ion beam (FIB) for transmission electron microscopy (TEM). Established record
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persons who agreed to give references Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email
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, preferably within electronic structure packages, ability to use computational chemistry software to develop understanding of chemical systems, effective communication skills and a Ph.D or equivalent in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
on MMS data. Required Knowledge, Skills & Abilities: Computer analysis of digital data from satellite data centers. Physics background analyzing the data. Other Requirements: local residency. Preferred
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity