11 phd-data-analysis positions at Radboud University Medical Center (Radboudumc) in Netherlands
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proactive attitude and is eager to learn and develop academic skills. Affinity with technology and data analysis. Independent working style. A collaborative spirit and flourishes within team science
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17 May 2024 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher
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electroretinographic signals with MEA and patch clamp or/and calcium imaging signals from retinal organoids and mouse retina. Perform analysis of recorded data. Collaborate with other team members to generate functional
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medical image analysis, computer vision, or machine learning. You have a clear interest to develop artificial intelligence algorithms and an affinity with healthcare. In addition you possess the profile
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polymorphisms in the cyp51A-gene on the azole phenotype. Bioinformatic data analysis. Technical validation experiments. A new sequence-based (such as RC-PCR) will be developed to enable the detection of genotype
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well as the medical community. As the number of rare disease patients is small by definition, there is a pressing need for the joint analysis of patient data on natural disease history, genetic makeup, disease
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Research Assistant, you will be involved in arranging meetings, ICT management of documents and reports, costing analysis of the CAR-NK production, data analysis of manufacturing data by the quality-by
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are from: ESM items on mood and memory, activity tracker, heart rate watch, neuropsychological (computer) tasks, questionnaires and clinical details (e.g., relapse of depression). Together with PhD student
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29 Mar 2024 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher
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. multivariate analysis, structural equation modelling, linear mixed modeling) and open science practices (e.g. data and code sharing). Participating in an interdisciplinary, international, collaborative, and