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Ph. D. in Bioengineering, Biochemistry, Biostatistics, Chemical Engineering, Computer Science, or similar discipline, with 0-5 years of experience and a strong focus on deep learning and/or cell engineering.
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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5+ years of hands-on experience with ServiceNow ITAM, ITOM and/or ITSM. Hands on experience creating and maintaining API’s and data integration processes between ServiceNow and other services.
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Expert knowledge of Deep Learning frameworks such PyTorch, Jax, TensorFlow. Hands-on experience in LLM training, fine tuning, and/or deployment a big plus. And you don t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you ve always imagined.
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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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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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Broad understanding of methods and tooling, fromtraditional (FastCV)to deep learning approaches(i.e. PyTorch,Jax,Tensorflow)and their deployment to embedded systems(Android, C. Optimize machine learning model implementations and inference timesWork withTFLite, SNPE, or other embedded deep learning libraries Quantize and tune model architecture, speed, and performance whilemaintainingtask performance Participate in rigorous benchmarking and analysis across model classes Deploy to mobile hardware running Android.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. Knowledge in machine learning, deep learning, NLP, and Computer Vision.
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Solid scientific track record with practical lab experience; hands-on experience with radiofrequency/microwave signal generation and measurement. Establish new and maintain existing customer contacts, securing future sales mainly related to quantum technologies: quantum computing, quantum simulation, quantum optics, etc.
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The Solar Finance Specialist will take the lead in answering customers' questions and managing the day-to- day flow of projects moving through the sales and installation process. Have a strong desire to learn about renewable energy finance models and the solar energy market.
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Ph. D. with a focus on cotton fiber development or cell wall biology and minimum of 7+ years of hands-on experience in plant tissue culture, with a deep understanding of plant cell biology as it relates to cotton.
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The Machine Learning Motion Planning team specializes in the fusion of Machine Learning and Classical Methods, researches and develops new heuristic and deep learning approaches, and builds deep neural networks, algorithms, and software to make an impact across navigation, behavior, route planning, as well as trajectory optimization, numerical optimization, and model predictive control.
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Minimum of 2-6+ years of hands-on experience in plant tissue culture, with a deep understanding of plant cell biology as it relates to cotton. The ideal candidate will have deep knowledge and experience in cotton cell biology, tissue culture techniques, and microscopic examination.
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The ideal candidate will possess expertise in project finance and/or structured asset-based finance, focusing on clean energy and climate infrastructure finance preferred. Firm Type: Law Firm, Experience: 3 Years, Job Overview: A law firm in Boston, MA, seeks a skilled Project Finance Associate Attorney with 3-6 years of substantial transactional experience.
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The Boston Red Sox Marketing Department is focused on supporting ticket sales and organizational initiatives through digital advertising, email marketing, promotions, and social media channels for the organization.
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deep learning hands on finance sales jobs Company: Apple in Watertown, MA
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