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, Sustainability Science, or related field. Experience in conducting LCAs using ISO 14040/44 standards and LCA software (e.g., SimaPro, OpenLCA, GaBi). Strong knowledge of LCI databases (e.g., Ecoinvent, ELCD) and
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that enable smarter, more secure, and highly interconnected environments. At present, focus groups at HESL perform R&D in the following key areas: Design Methodologies, Embedded Software, Reconfigurable
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: PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong expertise in machine learning for materials science (e.g., generative models, neural networks, active learning
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, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR. Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc. Proven research ability as evidenced through a portfolio
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Maxwell’s equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of SRF will focus on developing ab initio theory and developing software to describe and study
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in Health Research Methods, Epidemiology, Computer Science, or a related field. Expertise in evidence synthesis and clinical guideline methodology such as network meta-analysis, GRADE. Experience with
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SolidWorks or AutoCAD for detailed mechanical design and layout of electrochemical systems. • Proficiency in ANSYS, COMSOL, or similar simulation software for electrochemical and mechanical simulations
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). This fellowship provides substantial opportunities for new PhDs seeking significant experience, mentorship, and networking, as well as close collaboration with the Principal Investigators and considerable
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demonstrated track record) in thermal engineering, heat transfer, and/or mechanical design • Proficiency (with a demonstrated track record) in CFD software ANSYS. • Proficiency (with a demonstrated track
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electronic medical records, clinical trial data, survey data, and observational data • Systematic review and meta-analysis Software requirement: • R, STATA, or other similar software Recruitment is open