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Minimum of 10 years of experience building and maintaining advanced AI/ML models and experience in computational biology, comparative genomics, NGS workflow and analysis to support R&D. PhD in Computer Science, Bioinformatics, Computational Biology, Software Engineering.
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Scholars will focus their training on the epidemiology of cardiovascular disease such as coronary heart disease, stroke, heart failure, and other forms of vascular disease, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology.
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Proven leadership experience in bioinformatics, computational biology, or software engineering, preferably in the biotechnology or pharmaceutical industry. PhD or equivalent advanced degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
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We are part of the Center for Medical Genomics and the Center for Computational Biology and Bioinformatics. Candidates should be familiar with computational biology techniques and scientific programming basics.
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Seeking an exceptional individual to lead our Bioinformatics and Software team in leveraging computational approaches to accelerate therapeutic antibody and binder discovery. I am an experienced recruiter in Computational Scientists with an extensive network across the drug discovery community.
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POSITION TITLE: Postdoctoral Associate POSITION SUMMARY: The Peng lab in the Department of Neuroscience at Scripps Research in La Jolla, California has an available Postdoctoral Associate position for an accomplished researcher in computational genomics, statistical genetics, behavior genetics, and/or computational biology to deepen their knowledge in the context of the emerging area of addiction and behavioral genomics.
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Advanced degree in a quantitative discipline such as Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Atmospheric Science, Electrical Engineering Industrial Engineering.
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Computational biology/computational image processing Molecular biology Optical Microscopy. Applicants should have completed a Ph. D. or is nearing completion of a Ph. D. in bioengineering, biomedical engineering, biophysics, machine learning, electrical engineering, neuroscience, neurobiology, optics, molecular or cell biology, or related fields with a strong experimental background, academic history, and publication record.
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Advanced degree (e.g. M.Sc., PhD) in a field related to AIML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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Successful candidates will be supported to develop world-leading independent scientific programs to advance our understanding of cancer biology and conduct next generation translational research driven by data science, artificial intelligence, machine l earning, computer science, computational biology and other quantitative fields.
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The ideal candidate will have a background in bioinformatics, phage biology, genomics, protein expression, electron microscopy, and experience in metagenomics. The Luque lab will cover the postdoc's materials, office space, and computational infrastructure, while the Silveira lab will provide the lab infrastructure for the postdoc to carry out the synthesis and viral protein expression.
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Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. Candidates with a laboratory-based background in chemistry and biology, supplemented with strong computational experience, are also encouraged to apply.
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A Lead or Sr Computational Research Scientist position is immediately available in the laboratory of Dr. Xiang Chen in the department of Computational Biology to develop and apply innovative machine learning/statistical learning approaches to understand interactions between genetic alterations and epigenetic deregulations and to discover potential biomarkers for predicting drug responses in pediatric cancers.
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Candidates must have the demonstrated ability to conduct a state-of-the-art research program using modern techniques in molecular biology, cell biology, developmental biology, biochemistry, structural biology, immunology, computational biology, bioinformatics, genetics, and/or genomics applied to investigating the biology, malignancies, or other diseases of the skin.
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We are seeking an ambitious and talented researcher with a background in applied mathematics, computational biology, computer science or similar area. MD or PhD in Applied Mathematics, Computational Biology, or other computational discipline.
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