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This is an externally-funded PDRA position supporting the Leverhulme project “Biophysical and morphological coevolution of egg micropyles and sperm in insects”. You will work closely with an international team of researchers across multiple disciplines at the University of Lincoln, UK, in...
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regression, Cox proportional regression model, Poisson regression model) and Big Data analytics (e.g., machine learning, artificial intelligence [AI], text mining, generative AI) Knowledge/Skills/Abilities
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applicationsCountryFranceCityVALBONNEGeofield Contact City VALBONNE Website http://www.crhea.cnrs.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Post-Doc
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 373051 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Posting Details Position Details Title Post-Doctoral Fellow HBW Appointment Status Non-Tenure Track Department IU Bloomington English Location Bloomington Position Summary The History of Black
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
, leveraging on data analytics and machine learning to improve learning outcomes and engagement in the classroom, and Development of personal GPT-powered AI tutors that use the knowledge from (1) to provide
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Department: SOM KC Radiation Oncology ----- Radiation Oncology Position Title: Post Doctoral Fellow - Radiation Oncology Job Family Group: Professional Staff Job Description Summary: This role
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, Spain. The project involves collaboration with Leïla Perié's team, which specializes in tracing and analyzing cell lineages in hematology. The recruited post-doc will report to Lucie Laplane Where
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios