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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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multidisciplinary team. Strong written and oral communication skills. Context and objectives Process mineralogy is a discipline that has recently been used for diagnosing and improving ore processing flowsheets
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We are looking for a research staff who will be responsible for study of charge transport in tribovoltaic processes and the electromechanical properties of 2D piezoelectric materials for acoustic
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closely with other team members to develop OpenFOAM methods, processes and workflows; Develop and implement mesh, solver and post-processing methodologies to improve the efficiency and effectiveness of our
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relevant experiences in similar role / technical hands-on experience in photocatalysis, photoelectrocatalysis, materials synthesis and characterisation Good written and oral communication skills Proficiency
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demonstrated expertise in handling rodents as well as functional and behavioral assessments. Published expertise in animal surgery, preferably SCI microsurgery in rodents Hands-on experience with tract tracing
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Project Apollo. The role involves integrated photonic device design, fabrication process development, and system characterization. The candidate will mentor junior researchers, coordinate with industry
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into prototype systems with practical application potential. Contribute to fabrication process optimization, device prototyping, data interpretation and technical documentation for project milestones and
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recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so
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plasticity in the olfactory system. The olfactory tubercle is a ventral striatal brain region implicated in reward processing and motivated behaviors including addiction. Learning-induced changes in neural