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Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Qualifications:Ph. D. in Cancer/Molecular/Cell biology/Genetics, computational biology, or a related fieldStrong hands-on experience in laboratory research with molecular and cellular biology techniquesProficiency with analysis of high-throughput omics dataOne or more first-author papers published or accepted in a high-quality journalHighly motivated to conduct cutting-edge translational research that answers fundamental biological questions.
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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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The ideal candidate should have: A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics.
$125,840 - $238,160 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with computational biology tools and methods (BWA, GATK, Trinity, Bioconductor, Soap2, Galaxy, BLAST, others). 3 years of relevant professional experience in the field of computational biology with demonstrated achievements and progressive responsibilities.
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PhD degree in computer and information sciences, bioinformatics, cheminformatics, computational biology/chemistry with a minimum of 3 years' experience, or PhD in Biology, or life science field with minimum of 4 years’ experience in data sciences.
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Experience as Computational Biology co-lead for pre-clinical drug discovery programs. PhD degree in computational biology, bioinformatics, or a related field. Senior Computational Biologist.
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Adjunct Associate Professor of Cell and Developmental Biology, Vanderbilt University) and participate in the nationally- laboratory of Dr. Brian Nelms (Associate Professor of Biology and Biochemistry & Molecular Biology, Fisk University, and.
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We apply a world-class synthetic biology platform using non-model organisms, a deep knowledge of natural products relevant to human health, and a computational pipeline enabled by structure-guided design.
$95,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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The postdoctoral trainee will learn how to conduct highly interdisciplinary research at the interface of computational/functional genomics, RNA biology, cancer biology, cancer immunology and neural stem biology.
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Preferred Qualifications Bachelor’s or Master’s preferred in computational linguistics, artificial intelligence, computer science, or mathematics. The position involves researching, developing, engineering, evaluating, integrating, and assisting sponsors with tools for computational linguistics.
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We have strong research and educational programs in Artificial Intelligence, Machine Learning and Data Science, Bioinformatics and Computational Biology, Human Computer Interaction, Robotics and Autonomous Systems, Software Engineering and Programming Languages, Systems and Networking, and Theoretical Foundations.
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Drive computational analysis in collaboration with wet-lab scientists to optimize molecular biology workflows and molecular designs in plants. Nobell is seeking a Computational Biologist / Machine Learning Scientist to join our team of scientists to contribute to the development of the Nobell Plant Grown Protein (PGP) platform.
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Sr Principal Scientist – Computational Biology AI/MLLive. Doctoral degree in biology and 8+ years of experience in discovery biology in Oncology, Cardiovascular and Metabolic Disease, or InflammationA Master’s degree in statistical modeling, machine learning, or AI, or equivalent experienceExperience with transformers and LLMs, as well as cloud-based infrastructureExperience with generative modeling of biological systems/dataExperience with leading external collaborations and partnershipsThrive.
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computational biology jobs Title: post doctoral Company: Emory University
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