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, Computer Vision, and Predictive Analytics while ensuring production reliability and scalability. The Engineer combines technical excellence with strong collaboration skills to help our clients realize
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biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve
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PID-based control systems to measure net cooling power. Correlate empirical thermal measurements with high-precision optical data. Develop predictive models of radiative cooling performance using FEM
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/Linux environment; - Good command of scientific English, both written and spoken (certified level). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7285-CARNOE-068/Default.aspx
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MRC DiMeN Doctoral Training Partnership: Building a virtual human embryo to predict developmental success and failure MRC DiMeN Doctoral Training Partnership PhD Research Project Competition Funded
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, including blended cements. Develop curing-specific DoC prediction models and validate against experimental results. Determine the effect of controlled exposure conditions on the DoC of fibre cement materials
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data to understand short- and long-term impacts and identify opportunities for efficiency and optimization • Identify trends to drive predictive and corrective actions that improve water chemistry
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controllability • Learning and calibration strategies for uncertainty-aware language model prediction • Knowledge-augmented and neuro-symbolic approaches for language-based reasoning • Evaluation and design of LLM
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/environmental database and model-predictive control for indoor farming applications. Assist project team in deployment of testbeds and instrumentation for testing and validation of agritech/green building
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sequence analysis Single cell analysis Protein structure prediction Cancer multiomics analysis Genotype to phenotype mapping You are expected to contribute to strengthen the deep learning focus