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Field
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, Interdisciplinary Research, Laboratory Operations, Laboratory Techniques, Neuroscience, Researching, Results Reporting, Scientific Writing, Teamwork, Transcriptomics Questions For frequently asked questions about the
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on cancer treatment and research, neuroscience, clinical and translational research, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our
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on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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to uncover underlying biological principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data
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principles Selection Criteria Ph.D. in data science, computational biology, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling omics
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that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers
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six centers and institutes that focus on cancer treatment and research, neuroscience, clinical and translational research, advanced biotechnology and medicine, environmental and occupational health, and
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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
, systems biology, bioinformatics, neuroscience, or other related fields Strong experience in data analysis and handling ‘omics’ datasets – genomics transcriptomics, and proteomics Proficiency in R, Python