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an environmentally sustainable community. We are striving towards achieving net zero carbon emissions and biodiversity net gain and believe that sustainability is a shared responsibility and integral to all roles
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, this role will contribute the development of networks coordinated sensing and communication solutions and the proof of concepts for next-generation wireless communication, collaborating with other team
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Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel
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data. Communicate results through peer-reviewed publications, technical reports, conference presentations, and sponsor engagement. Build collaborative networks across Berkeley Lab and the DOE national
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) biophysical modelling of mouse LFP and human (including schizophrenia patient) EEG data from auditory cortex, and ii) simulation of hallucinations using a spiking neural network model. About you The candidate
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50% of the Fellow’s salary, (1851's contribution up to £30,000 per year) £3,500 travel budget for academic conferences Full funding for university and bench fees Membership of alumni community
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and cognitive sciences—supported by strong mentorship and collaborative culture. By combining interdisciplinary training, a robust research infrastructure, and a unique global academic network, NYU
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isolated from the air to improve our understanding of biodiversity data capture and of ecological networks. The research fellow will primarily be based at the People and Nature Lab on the new UCL East campus
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graduate students and engage in community/agency outreach and stakeholder engagement. Required Qualifications* Expertise in one or more of the following DL architectures: Convolutional Neural Networks (CNNs
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to ensure high-quality data. Communicate results through peer-reviewed publications, technical reports, conference presentations, and sponsor engagement. Build collaborative networks across Berkeley Lab and