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, Criminal, Education Working Conditions: The position is based on site in Cambridge, MA. There may be an opportunity for a hybrid work model compliant with Harvard University policies. It is anticipated
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activities will be oriented at developing hybrid data-driven/model-based AI methods to analyse time series of clinical data coming from sensors, enriched by the possible trajectories of relevant human patho
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means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested
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Department UBHC - CRSC Newark Overview Rutgers University Behavioral Health Care (UBHC), established in 1971, offers a full continuum of evidence based behavioral health and addiction services for children
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BIOS-06/A - A synaptic mechanogenetic technology to repair brain connectivity - CUP: J93C22002400006
of neural networks. The technology will be validated in mouse models of neurological disorders. Where to apply Website https://pica.cineca.it/units Requirements Additional Information Eligibility criteria
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more detailed description of the project can be found here: https://invest.utu.fi/projects/ Applicants are expected to have strong and versatile methodological skills, including multilevel models (mixed
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a high level of evidence, yet their narrow eligibility criteria and controlled settings often limit generalizability. Advances in causal inference and the increasing availability of real-world data
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production is established, they will utilise the polymer for 3D printing of PHA-based patches with controlled temporal and spatial drug release in the EPSRC project. This work will be in collaboration with
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for multicellular life. Glycocalyces accomplish critical functions in inter-cellular communication, controlling tissue development, homeostasis and repair, inflammatory and immune responses, neuronal connectivity
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid