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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
bioinformatics tools or AI/ML models. - Experience in integrating multi-omics data from tumors and preclinical models. - Familiarity with training or fine-tuning large-scale models (e.g., LLMs, foundation models
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functional molecular or nano-scale systems that can be remotely controlled, notably by light. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7053-PHIPIE-002/Candidater.aspx Requirements
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appropriate areas as well as simulated clinical environments in training areas. You will join a multi-professional team of experienced staff from a range of clinical backgrounds including medicine, nursing and
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about the TVöD-Bund collective agreement can be found on the BMI website (pay scale table on page 66 of the PDF download): https://go.fzj.de/bmi.tvoed In addition to exciting tasks and a collegial working
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study and understand the properties of III-N with polarity N via a detailed understanding of the fundamental mechanisms of polarity inversion by a multi-scale approach. Indeed, the objective of the N
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/GED or equivalent combination of education and experience; eight years? general maintenance experience or equivalent combination of education and experience with three years in a team-oriented, multi
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project intends to discover, using video games, what structures of social interactions can foster such large-scale cooperation. The project will first build a formalism for mechanisms driving cooperation
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. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key Responsibilities Research
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vocational education to deliver our vision: to position RMIT as a leading multi-sector provider with global impact and influence. Led by our Pro Vice Chancellor, the College of VE is reimagining how we deliver
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics