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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.
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Ph. D. in biomedical engineering, bioengineering, neurosciences, or a related field. We are seeking a Biomedical Engineer to contribute to the development of our next-generation brain-machine interface.
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Alternative qualifications include Equivalent military training or Certified Biomedical Equipment Technician (CBET). The Biomedical Equipment Technician I conducts cost-effective maintenance on company and customer-owned medical equipment primarily located at customer sites, to ensure they are functioning properly and meet customers' needs.
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Ph. D. or equivalent in Biomedical Science related fields. Priority will be given to candidates with expertise in developmental genetics, molecular and cell biology, microRNA, posttranslational modification, ciliogenesis, and biomedical engineering.
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The AI & Computational Science (AICS) team at Novartis Biomedical Research is dedicated to revolutionizing drug discovery through AI. Our mission is to accelerate the development of transformative medicines for patients worldwide.
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A master or Ph. D. is highly preferred 5+ years of industrial experience (relevant research experience for master/Ph. D. may be counted as industrial experience) Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.
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REQUIRED: a Ph. D. in biomedical engineering, materials engineering, or related field; experience with computational methods. POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering, to assume a position in structural protein design and synthetic biology in the Marelli Lab. The project involves the design of new structural proteins using AI/ML tools and/or currently available software and algorithms for the design, modeling and computational analysis of protein structures (e.g., Rosetta, Gromacs.
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The Nucleic Acid Vaccines Center of Excellence (NAV CoE), a global team within the GSK’s Drugs Substance (DS) Vaccine’s Technical Research and Development organization, has as a mission to develop the next generation RNA Drug Substance vaccine platforms for rapid development of new vaccine candidates.
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Are passionate about diversifying their careers and performing structural engineering for a variety of project types including locks and dams, tidal gates and barriers, floodwalls, piers, wharves, pump stations, treatment facilities, as well as conventional designs for buildings, water, and wastewater infrastructure.
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Work today, get paid today! For your physical and mental wellness we offer competitive Medical and Dental programs through Anthem Blue Cross Blue Shield as well as Vision insurance programs through EyeMed. Our Vacation, Sick and Holiday programs are available for you to rejuvenate with time off.
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Ability to work in the lab independently and in collaborative efforts with internal in vitro/ex vivo and in vivo groups, as well as external contractors as necessary (CROs, academics). He or she will be working with an internal team and external CROs for downstream analysis, including biomedical imaging, pathology, and bioanalytical analysis.
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Operate as a product, platform and capability owner across the DQ/DC/DS&A/DA and DM, including product roadmap, vendor/contract/budget management linked to solutions such as Informatica Data Management Cloud (meta-data management and cataloging / data quality/ data marketplace/MDM) and Immuta (Data Security.
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MD with clinical experience (e.g., residency), Ph. D., Masters or Bachelors degree in Medicine, Biotechnology, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Computational Biology, Biology or a related discipline.
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A full-time postdoctoral fellow position is available in the laboratory of Zuzana Tothova, MD, Ph. D. at Dana-Farber Cancer Institute ( We are a seeking enthusiastic, collegial, creative, self-motivated individual who thrives in a fast-paced, challenging research environment, and can interact well with others as part of a cohesive team.
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Leading projects involving internal experiment design and data analytics as well as outsourcing of established workflows and/or complex follow-up mechanistic assays (organoid, CRISPR, proteomics.
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