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Field
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multidisciplinary team environment on scientifically challenging problems Excellent proficiency in written and spoken English The PhD degree is not a prerequisite for application. It is possible to do a PhD in this
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at
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around the world to understand the impacts of new mobility, urban delivery, and autonomous vehicles on the built environment. Going beyond these emerging technologies, we explore the possible implications
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technologies to study tissue behavior at single-cell resolution. We offer an inspiring intellectual, collaborative, and multidisciplinary research environment to support your career goals and provide access
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researchers or PhD candidates. Performing scientific research, and managing logistical tasks: using the project budget, e.g. transporting equipment, arranging shipment and purchases, booking accommodation and
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piezoelectric composites and material architecture to achieve improved electromechanical coupling and spatial resolution would be important. In addition, they should have experience in sensor array readout
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culture and vibrant research environment. Our offer to each individual and their researcher development involves: mentoring, annual research planning discussions, pooled research funding to support career
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problem-solving skills. Proven ability to work independently and collaboratively in a multidisciplinary environment. Excellent communication skills, engaging with both technical and non-technical
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of manuscripts, presentations, and grant materials Participate in lab meetings and contribute to the scientific discussion Qualifications: PhD in Neuroscience and Pharmacology, or other related disciplines Prior