20 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Duke University
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projects and will use the clinical knowledge to advance the science in GSDs. Requirements: - PhD, MD, or MD/PhD in a relevant field - Demonstration of conducting clinical research in the past (publications
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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
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, methods will include video- and machine-learning supported behavioral studies in mice, mouse genetics, fluorescent imaging, electrophysiology, pharmacological studies of irritant and thermosensory receptors
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will perform the following tasks: • Design, implement, and maintain scalable computational pipelines for multi-omics data, including bulk/single-cell RNA-seq, spatial transcriptomics, metagenomics
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3D organoids, primary cell purification, and culture skills are particularly welcome. Requirements: A PhD or MD/PhD
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bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods
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be considered, strong preference will be given to those with experience in analytical chemistry, mass spectrometry, quantitative proteomics and/or computational biology. This position offers a vibrant
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) and arthritis pain (e.g. psoriatic arthritis pain), with a focus on ion channels and neural circuits. Candidate must have completed the requirements for the PhD degree or equivalent in Neuroscience
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are seeking a motivated and independent candidate with primary interest in post-stroke recovery (motor, vision or pain recovery). The position is at least for 2 years. Responsibility: · Lead project to collect
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on applying cutting-edge neuroscience techniques toward studying the nervous system of the heart. Qualifications: Education 5 years or less from a PhD or MD/PhD Degree with a background in cardiac biology