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have a strong background in fundamental electrochemistry, with preferable hands-on expertise in computational materials science. The applicant should be well versed in code development, application of AI
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education projects Has published in reputable academic/scholarly journals Background in technology and ability to code in Python Ability to write academic papers Responsibilities: Liaison with school and MOE
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 26 days ago
Job Code: gw26/006 Job Offer from February 18, 2026 The Max Planck Institute for Plasma Physics (IPP) is one of the world"s leading centers for fusion research. With around 1100 dedicated employees
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This role is full-time, fixed-term for 18 months. Closing date: 23:59 on 6th March 2026 Interview date: TBC By reference to the applicable SOC code for this role, sponsorship may be possible under
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2026-0079 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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Developing online resources to support teacher development Coordinating with research partners to ensure consistent data collection Data analysis Coding interviews and other qualitative data sources
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. An understanding of the Australian Energy Market. An understanding of data centre and server operations. Experience with collaborative software practices such as version control and code review. Background in
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highly desirable. Knowledge on AI ML/DL coding applied to STEM / EELS data analysis automation is also needed. · Professional Experience: Previous research experience in an academic or industrial setting