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We seek an ambitious, experienced and self-motivated individual with experience in multi-omics bioinformatics analysis, to lead the new Advanced Bioinformatics and Computation (ABC) group. The post
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
Skip to main content Recruit Home Open Recruitments Assistant Project Scientist in Bioinformatics (Au Lab) (JPF10504) Assistant Project Scientist in Bioinformatics (Au Lab) Apply now to Assistant
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a strong genetics community to develop and apply computational (bioinformatics) methods to improve diagnosis for individuals with rare genetic disorders caused by variations in genome sequences
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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or single nuclei RNA sequencing, including laboratory and analytic methods. The ideal candidate will perform both in vitro laboratory methods and bioinformatics analyses. Salaries are based
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Molecular Pathology at the Full Professor rank. Expertise in molecular pathology, clinical bioinformatics/informatics, and genomics is essential. Research interests in machine learning, artificial
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, Spatial Proteomics, Bioinformatics, Neuroscience, Biochemistry, or Bioengineering. This position will be the driving force for developing cutting-edge hydrogel-based technologies to study brain function
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, travel for conferences and presentations, as well as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline
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Informatics and the New York State Center of Excellence for Bioinformatics and Life Sciences including the Buffalo Institute for Genomics and Data Analytics, Center for Computational Research and Hunter James
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. Isolate cells from atherosclerotic plaques and prepare samples for single-cell RNA sequencing. Perform bioinformatics analysis of single-cell RNA sequencing data to identify novel EV-related pathways and