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Expertise with rapidly applying computational methods and bioinformatics tools to analyze protein variants and modeling the impact of variants on the structure of proteins. Sr. Scientist - Genomics & Bioinformatics.
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Programming for bioinformatics, biostatistics, image analysis, machine learning. Applying tools from evolutionary genomics, molecular genetics, and field ecology in sunflowers and monkeyflowers, our research addresses the following questions: How do plants cope with daily and seasonal environmental fluctuations.
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Candidates will join the multidisciplinary and multidepartment Masonic Institute for the Developing Brain with on-site expertise spanning developmental and clinical neuroscience, bioinformatics, and data analytics and have access to the broader University of Minnesota neuroimaging, high performance computing, and mental health research communities.
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We are seeking a talented and motivated Computational Biologist/Bioinformatics Specialist to join our team. To help us meet our goals we are looking to hire a Senior Bioinformatics Scientist to join our family.
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The successful candidate will gain field experience, expertise in mirid systematics, including identifications, NGS and bioinformatics skills, and expertise with phylogenetic and downstream analyses (e.g., divergence dating, biogeography, phylogenetic diversity.
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The individuals will identify and implement computational solutions, stem cell biology, bioinformatics, and biostatistics to. Molecular Biology, Biology, Biochemistry, Physiology, Pharmacology, Microbiology, Immunology, other biomedical sciences.
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Analyze proteomics, metabolomcis or lipidomics data using software packages and bioinformatics tools. The mass spectrometry department at HHMI, Janelia Research Campus is a new shared resource which is dedicated to advancing scientific research and innovation in the field of proteomics, metabolomics, lipidomics and many more.
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Qualifications Ph. D. with research backgrounds in computational biology, statistics/biostatistics/data science, bioinformatics, genetic epidemiology, or a closely related discipline. Our work spans a range of subjects at the interface of genetics, statistics, neurological sciences, bioinformatics and machine learning, with a sole focus on the functional genomic regulations in human brains and their impact on neurodegenerative disorders, particularly Alzheimer’s disease (AD.
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The newly established Computational Genomics Lab at Department of Pathology, University of Kansas Medical Center, Kansas City, is accepting applications for a Research Associate position in Computational Biology/Bioinformatics.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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A degree in Computer Science or Molecular Biology or Biochemistry (or a closely related discipline) with an emphasis in Bioinformatics is preferred along with basic knowledge of molecular and genomics biology.
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Experience with Bioinformatics based multiple sequence alignment and protein molecular modelling (homology modelling) tools such as ROBETTA, AlphaFold (DeepMind), MODELLER, UCSF Chimera, PyMOL, Schrodinger, etc.
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The ideal candidate would be a doctorate-level researcher or family physician with training in Behavioral Sciences, Translational Basic Science, Public Health, Social Sciences, Health Services Research, Bioinformatics, or other related fields.
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PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field + 2 years of relevant experience, or MS degree + 5 years of relevant experience. The ideal candidate will have a strong background in machine learning, bioinformatics and solid understanding of immunology, with a proven track record of developing advanced algorithms that can transform complex biological data into actionable insights.
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Technical expertise in various areas of cancer research, such as preclinical models, metastasis, microenvironment or bioinformatics are desired in a candidate. Moving forward, MSU has partnered with Henry Ford Health Sciences ( to close the gap in health care outcomes for cancer patients based on race, ethnicity, gender and socioeconomic status.
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