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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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Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions. Proven experience in systems engineering, program management, computational linguistics, or CAT tools.
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Postgraduate school experience in one or more of the following areas: bioinformatics, cheminformatics, computational chemistry and machine-learning. 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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Senior Computational Biologist. Experience as Computational Biology co-lead for pre-clinical drug discovery programs. PhD degree in computational biology, bioinformatics, or a related field.
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. This team of computational imaging scientists is responsible for advancing Bristol-Myers Squibb’s industry-leading pipeline through the strategic application of cutting-edge tissue-based image analysis and bioinformatics approaches.
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Postdoctoral associates independently choose their (computational and biomedical) mentors from Broad-, MIT-, or Harvard-affiliated faculty. The Schmidt Center’smission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and organisms.
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Stay updated on protein space and industry trends: Keep abreast of the latest developments in computational structural biology, protein engineering, and related fields. The position will provide a unique opportunity to play a critical role in the advancement of FL89’s computational discovery and preclinical platforms, through the development of disruptive approaches for biotherapeutic drug discovery.
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Familiarity with computational chemistry / chemoinformatics tools and software. Familiarity with computational chemistry / chemoinformatics tools and software. PostEra is using machine learning, applied to medicinal chemistry, in order to expedite the discovery of new drugs and get new cures to patients faster.
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We work in a rich multi-disciplinary environment involving clinicians, computational biologists, statisticians and geneticists both at MGH, BWH, the Broad Institute of Harvard and MIT as well as internationally through the International Stroke Genetics Consortium (ISGC.
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Including cancer genomics, multiplex biomarker theranostics, and computational/digital pathology). In addition, the department will be engaged in the newly announced and exciting clinical collaboration between Dana-Farber Cancer Institute, BIDMC, and Harvard Medical Faculty Physicians (HMFP) to establish New England’s only free-standing adult inpatient cancer hospital.
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Monitor and evaluate new and emerging technologies that benefit the development of computational biology software. Work closely with the computational biology team to deploy method prototypes in production.
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Collaborate effectively with renowned GSK experts in genetics, genomics, computational bio & chem, structural biology and medicinal chemistry, artificial intelligence / machine learning, and digital technologies to build the datasets, tools, models, and infrastructure necessary for oligo design & development.
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An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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Experience in pooled or arrayed high throughput screening pipelines, immunology, immunotherapy, antibody discovery/development, gene engineering, genomics, computational biology, or synthetic biology preferred.
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Knowledgeable on Computational Fluid Dynamics (CFD), Advance Fluid Dynamics, Thermodynamics, Heat Transfer, and Building Mechanical Systems. Built Ecology is WSP's national Built Environment Sustainability practice, providing a broad range of services including sustainability strategy and planning, target-setting and workshop facilitation, high-performance design assistance, computational building performance analysis, building certifications, energy and GHG master planning, and building performance verification.
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computational job in Boston, MA
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