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practical knowledge of statistical and programming packages is mandatory, including R, Python, and/or SQL. Extensive experience with advanced statistical techniques and algorithms, such as Machine Learning
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, liposomes and other vesicular systems. Proven experience in the design, fabrication and operation of microfluidic devices for the controlled production of soft materials. Strong background in polymersome self
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learning and deep learning. Specific Requirements PhD in acoustics. Knowledge of acoustical measurement techniques, as well as physical acoustics. Some experience in acoustic signal processing and machine
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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resistance. We developed synthetic cells that fight bacteria using a biomimetic form of artificial phagocytosis, a process to date only observed in living organisms. These phagocytic synthetic cells (PSCs
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for medical endoscopy, specifically: Fine-tuning and performance evaluation of a dense VSLAM system for endoscopy. Development of a prototype for coverage estimation in colonoscopy. Experimental evaluation
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processing. Experience in cell culture, primary cultures and advanced imaging techniques Experience handling biological sample repositories and experimental data management Publications: At least 1 first
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evaluation and cost-effectiveness studies. Evaluation and analysis of the chest image using radiomics techniques. Where to apply Website https://www.irblleida.org/en/jobs/509/postdoctoral-researcher
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tissue/organ perfusion machines (0–5 points). English proficiency (reading, speaking, and writing) (0–10 points). Specific Requirements Required qualifications: Degree in Medicine and Surgery (M.D
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Languages Fluency in written and spoken English Computer skills Skilled with data analyses software (R/Python) Experience with using high performance computing clustersAdvanced MS Office experience