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Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc. As a data scientist, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
$65,500 - $108,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD focus on NLP or Masters with 5 years of industrial NLP research experienceMultiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Expertise is required in the specific area of sequence alignment and bioinformatic analysis of genome-wide sequencing data, machine and deep learning computational approaches to genetic and proteomic biomarker identification, identification and quantification of repetitive DNA sequences, RNSeq data processing and data analysis, generation of figures and descriptions for grant applications and manuscripts, and other responsibilities as needed.
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Collaborate with executive leadership to define and execute a comprehensive AI and data science strategy aligned with the company's goals and objectives, leveraging advanced AI technologies such as LLMs and deep learning frameworks.
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Proven experience with antimicrobial peptide design, including deep learning models. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale. Grow and expand skillset of team with an eye towards diverse & forward pushing skills that span machine learning methods, data engineering, tooling, data products and analytics.
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To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
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O Exposure to deep learning applications and tools is a plus o Experience in the financial insurance domain and familiarity with financial models are highly desirable. o Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees, random forest, neural networks, NLP, feature selection/ reduction, clustering, parameter tuning, etc) o Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross functional teams.
$87,700 - $159,900Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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About the Role: This is a principal role reporting to the Director of Cybersecurity GRC that requires an individual with a deep ability to work with and coordinate projects across the Elsevier Technology Information Security and Data Protection organization, as well as Technology product owners and their customers.
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We achieve this by offering strong academic, co-curricular, and social-emotional learning that prepares students for success in college and beyond. You'll conduct a deep exploration of daily content in order to guide students to analyze books by authors like James Baldwin, Toni Morrison, F. Scott Fitzgerald, William Shakespeare, and Yaa Gyasi; books that ignite a passion for literature, sharpen a critical eye for examining the world, and deepen students’ intellectual identity.
$55,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Join our global community of guides and experts and learn more about the benefits of working for an international travel company, a learning organization invested in sustainability and transformational travel.
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Gain real-world sales experience, take a deep dive into the vast staffing. will also shadow Account Managers gaining an insight into sales by learning. You’ll begin in the Recruiter role, learning to source, interview, and.
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Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. In this role, you will collaborate with ML researchers, technical artists, and simulation engineers to build realistic, accurate, and detailed 3D models using machine learning from a variety of data sources.
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This includes having a deep, professional understanding of current research pertaining to dyslexia, including the science of teaching reading, ADHD, and other learning disabilities in order to make recommendations and/or changes to enhance the School’s academic curriculum.
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
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