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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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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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The successful candidate will understand financial drivers of the HomeStart business, will focus on finance/accounting process improvement and will be a hands-on operational manager who is both comfortable with details as well as able to lead the financial strategy of HomeStart.
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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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Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness. Hands on experience with Azure cloud tools, such as Synapse, Azure ML, AI Search, Kubernetes.
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A first-of-its-kind 3.0 Tesla MRI with ultrafast MR imaging informed by deep learning (AI) reconstructions, an additional 3.0 Tesla magnet, and a new 1.5 Tesla MR. The world of healthcare is changing fast and Commonwealth Radiology Associates is the “tip of the spear” when talking about advancements in Diagnostic Modalities, Image-Guided Intervention, AI, Machine Learning, and Health Blockchain Technology.
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A Practice Environment that has a Priority on Work-life Balance and Flexibility. Tufts Medicine does not discriminate on the basis of race, color, religion, sex, sexual orientation, age, disability, genetic information, veteran status, national origin, gender identity and/or expression, marital status or any other characteristic protected by federal, state or local law.
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Hands-on professional programming experience across power industry and power trading is a big plus. This position is a critical hands-on role working directly with the trading teams and is responsible for developing, supporting, and maintaining a trading, and analytics solutions supported by APIs, applications, and visualization tools.
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Artificial intelligence, pathology, digital pathology, oncology, immuno-oncology, auto immune disease, neurodegenerative disease, improving medicine, companion diagnostics, precision medicine, solutions, R&D, computational pathology, predictive, deep learning, and software engineering.
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In coordination with direct supervisor/ Project Finance Manager (PFM) provide guidance and site team capacity building based on discovered issues. Take ownership for all finance-related tasks for assigned projects and ensure timeliness and high-quality on all project finance deliverables with limited guidance from direct supervisor/PFM: Periodic Estimate at Completion (EAC) and Variable Consideration (VC) reports Quarterly Forecast, annual planning Monthly Variance explanation Accruals Other company-level project deliverables.
$80,000 - $110,000 a year (equity)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Have hands-on experience in building deep learning and/or data pipelines. You will be part of the AI team at VideaHealth, where you will closely work within the team of Machine Learning engineers on a well defined project that is focused, dependent on the candidate, around Deep Learning or Data Science.
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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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Research Scientists will work in a collaborative and hands-on environment to solve challenging problems that arise from AES’ diverse portfolio of applications and are expected to advance the scientific and technological state of the art in the areas of interest to the Business Unit.
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Demonstrated deep technical aptitude and experience in product design and development, trading and liquidity in at least one of the following areas: structured finance, securitization, collateralized lending, Delta One products.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Dyne Therapeutics is a clinical-stage muscle disease company focused on advancing innovative life-transforming therapeutics for people living with genetically driven diseases.
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deep learning hands on finance sales jobs Company: Apple in Cambridge, MA
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