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Field
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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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laser-based processes to various materials and in particular, shape memory alloys. Preferred Qualifications: Ph.D. in Mechanical Engineering, Materials Science, or a related field. Ability to conduct
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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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fields: Business Administration Computer Analytics / Artificial Intelligence Primary Education Early Childhood Education Requirements: PhD degree in the relevant field Fluency in English (teaching medium
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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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Chinese (Cantonese and Mandarin); (v) strong problem-solving, organisational and administrative abilities; and (vi) attention to detail, with the ability to work independently and collaborate effectively
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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
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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selected topics in power electronics, vol . 8, no. 3, September 2020, DOI: 10.1109/JESTPE.2019.2914215