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Field
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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relapse using miniscope imaging and other methods. The candidate should be self-motivated and is expected to work collaboratively. This opportunity is in Baltimore, MD. The annual stipend is based upon
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software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v
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cells to generate vascularized 3D cerebral organoids derived from participants of the Trønderbrain cohort and will apply a broad range of molecular biology techniques, confocal imaging, and neural
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specifications, performance frameworks, and implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems
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productisation of solutions, including experimental design and prototype validation. Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy
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Plan and execute experimental workflows to achieve project milestones. Lead prototype development and performance optimization of the SERS biosensor system. Communicate research outcomes through
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, differentiation, and function. · Utilize gene-editing and transfection approaches where appropriate to develop experimental cellular models. · Conduct imaging, transcriptomic, proteomic, and functional analyses
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, micro-indentation, and micro texture analysers (e.g., TA.XT plus), Confocal Laser Microscopy Imaging etc for the purpose of quantification of hardness, chewiness, springiness, fracture stress, and
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interest in electrochemical energy technologies. The successful candidate will work closely with senior researchers and industry partners to translate research findings into prototype components