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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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While working at FT Partners, you will become an expert in FinTech while also learning the "in and outs" of M&A and private capital raising, business development strategy and industry research publication.
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Lead the research, development, and implementation of advanced machine learning and deep learning algorithms to solve complex problems within Biological Sciences. Contribute and assist to the development and documentation of best practices, standards, and guidelines for AI and machine learning within the organization.
$176,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models. Many, especially B2B companies, have teams of sales/business development representatives (SDR/BDRs) or full-cycle account executives whose responsibility is to identify, contact, and qualify new potential customers.
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Lead experts through course development process; provide resources, project management, and provide guidance on Sphere real-world, application-based framework and style standards, and teaching and learning best practices.
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Contribute to a supportive atmosphere of collective learning and development. You will report to the head of research and development utilizing a world-class computational R&D environment to build cutting edge models predicting disease risk from whole genome sequence data.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX.
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The Learning Specialist delivers instructor-led, classroom, webinar, one-on-one and web-based training to both new and existing SRG employees, with an emphasis on SRG sales, customer service, and leadership development.
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Engage in the investigation, development, initiation, and litigation of high-impact cases, which could include: managing fact and expert discovery; conducting legal research and analysis; drafting pleadings, motions, briefs and complaints; evaluating and investigating potentials claims; identifying potential plaintiffs, issuing public records requests; and coordinating amicus briefing.
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Lead purification process development for AAV gene therapy, mRNA and protein therapeutics. The successful candidate will lead downstream process development and support outsourced GMP manufacturing for Altos programs.
$169,000 - $234,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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You will be fluent in Python and experience with scientific software development for biochemical modeling (e.g. RDKit, Biopython, MDAnalysis, OpenMM)You will have demonstrated experience with modern Python frameworks for deep learning like PyTorchYou will have experience working with biochemical or biophysical datasets including graph, sequence, and structure-based data.
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learning and development jobs Title: representative Company: American Airlines in South San Francisco, CA
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