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software (e.g., STATA, SPSS, NVivo) Proven track record of publications in international peer-reviewed journals Preferred Skills and Attributes Excellent written and verbal communication skills in English
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Science 2018). Our research combines in vivo and in vitro experimental platforms to explore mechanisms of synaptic and neural network activity dysfunction in the human neocortex. Using human iPSC-derived
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, TEM, XRD, AFM, XPS). Machine learning methods. High-throughput experiment design and data analysis. Scientific writing and communication. Data processing and visualization software (CrystalMaker
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should be highly proficient with a range of machine learning approaches, including unsupervised, semi-supervised, supervised, and various deep learning techniques (e.g., convolutional neural networks
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and experience in fault diagnosis and analysis and protection systems will be advantageous • Knowledge of software such as PSIM, ETAP and MATLAB/Simulink • Prior knowledge and experience in
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. Experience in matlab, MEEP, RCWA and other softwares and algorithms. Excellent publication track records. Good understanding of nonlinear and quantum optics. Strong knowledge of optical physics, while
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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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, 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