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Job Description MIT Lincoln Laboratory seeks a highly motivated, detail-oriented, curious and driven physicist, applied physicist, or researcher in a related field with hands-on lab experience.
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You will collaborate with company advisors from MIT and Harvard whose expertise span machine learning, medical imaging, and getting products successfully through FDA. We are looking for an individual with an exceptional Machine Learning background and track record of proven delivery who is not shy to take on extensive responsibilities.
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This includes hands-on experience in vitro cell-based assays, flow cytometry, and/or in vivo studies, This may be exemplified by a productive PhD or postdoc and/or industry experience. Prox was founded by awesome immunologists from UCSF, Stanford, and Penn, and protein engineers from Alloy, MIT, and Stanford.
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Lead molecular diagnostic assay development in a hands-on manner through successful FDA submission. In depth knowledge and hands on experience with qPCR, sequencing and standard molecular biology techniques.
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Hands-on experience of Pytorch or Tensorflow. Hands-on experience in either NLP or Computer Vision. Hands-on experience with different types of classification, clustering, and regression models.
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OPT Industries ( is a rapidly growing, venture-backed MIT spinoff company that focuses on building the next generation of additive manufacturing technology. Multifaceted, hands-on technical Quality Engineering role responsible for leading OPT Industries Quality efforts with regards to design quality, manufacturing quality insurance, and quality system (QMS) development and management.
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Extensive hands-on experience in the design, construction and maintenance of optical workbenches with laser sources. Founded by a renowned MIT and Harvard trained Physician and Physicist, Nanobiosym's innovative pipeline of products leverage novel advances in physics, biomedicine, and nanotechnology.
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An ideal candidate will have a research background in MEMS, microfabrication and mechanical/electrical engineering, as well as hands-on experience/rapid prototyping skills, but training to gain further skills will be available.
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Job Requirements REQUIRED: bachelor’s degree; four years of recruitment/talent acquisition experience; a demonstrated practical, hands-on, can-do approach to responsibilities; ability to multitask, manage multiple and simultaneous duties, and prioritize a heavy workload in a fast-paced, dynamic environment; proven organizational skills; experience leading small-scale projects; proactive approach to improving processes and systems; and strong analytical and problem-solving skills.
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This position will require direct on-boarding and will be stationed at a satellite facility of the Brigham and Women’s Hospital in Cambridge, but will involve work with a multidisciplinary team from across the different MIT/Harvard/BWH institutions.
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Responsibilities will include hands-on operation and maintenance of the facility’s automated liquid handling and readout systems, laboratory information management system (LIMS), and database management; training researchers in the use of automation and data systems and management of laboratory resources, including curation of small molecule, functional genomic and materials-based/nanoparticle libraries.
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5+ years of hands-on experience with the validation/qualification of new products, equipment, and processes. Working at the intersection of automation engineering, computational design, and polymer science, we design and commercially manufacture highly customizable materials and products- everything from medical devices to luxury fashion.
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Building off technology developed at MIT that enables metallic aluminum to split water, our energy delivery systems safely generate hydrogen and industrial heat on-site at >5x the volumetric energy density of liquid hydrogen and >3x that of methanol and ammonia.
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Hands-on experience in next-generation sequencing, e.g. Illumina, Oxford Nanopore or PacBio platforms with various sample types, including purified DNA, microbial, fresh and FFPE tissue material, blood, etc.
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The MIT-IBM Watson AI lab is seeking outstanding engineers to join a team of researchers and engineers developing cutting edge techniques and algorithms aiming to improve the efficiency of Large Language Models (LLMs) running on cloud or on edge devices.
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mit hands on jobs in Medford, MA
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