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Field
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, building engineering, or environmental engineering. Qualification requirements The applicant is required to have a PhD degree in energy engineering, building engineering, mechanical engineering, or other
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. Qualifications All required qualifications must be clearly documented in the application materials. Required Qualifications: • PhD in Electrical Engineering or a closely related field. • At least four years of
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related to the project. Candidate Profile Strong proficiency in software tools related to materials/process modeling, thermochemical systems, statistical design (DoE), and data analysis. Excellent verbal
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, and present experimental data in a rigorous and reproducible manner. · Proficiency with standard computer applications and scientific data-analysis software, such as GraphPad Prism, R
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may find this link useful http://www.ism.ku.dk (International Staff Mobility). Application procedure Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore, your
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to work well with minimal supervision and with PhD students and external collaborators. Experience related to performance analysis and optimization, GPU architecture, and code generation are highly
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The successful candidate will have completed a PhD in chemistry education or related field (ABD will be considered), and will be performing research in line with the PI's research program. The postdoctoral scholar
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. This candidate will also have the opportunity to develop and test potential therapies to treat cognitive, motor and/or mood deficits using preclinical rodent models of stroke and/or dementia. The candidate will be
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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | about 2 months ago
positrons to the experiment. Publish results in high-impact journals and present results at international conferences. Teach PhD and Masters students within the group. Your Profile Ph.D. in experimental
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collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic