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Additionally, you will work with software developers, hardware developers and research scientists to enable an array of applications including AI, computer vision, healthcare, life sciences, autonomous vehicles, materials science, computational chemistry, quantum computing and related fields.
$247,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applying synthetic biology, genomics, bioinformatics, data science, and fermentation, we harness the most beneficial molecules from plants to create active pharmaceutical ingredients in more controlled and economical ways.
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Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
$246,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will be responsible for performing high complexity laboratory testing for cancer detection via next generation sequencing and possibly general Chemistry and Immunology testing.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The PositionPrincipal Bioinformatics ScientistWe are seeking a highly skilled and experienced Principal Bioinformatics Scientist specializing in Next Generation Sequencing (NGS) to join our research team.
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We are looking for recognized experts in generative AI, multimodal reasoning, NLP, with experience in areas like multimodal model training; data processing for pretraining and fine-tuning; LLM alignment; reinforcement learning for model tuning; efficient training and inference; image and video generation.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ACADEMIC CREDENTIALS: Bachelor's or Master's degree (preferred) in Computer Science, Computer Engineering, Electrical Engineering, or equivalent LOCATION: Santa Clara, CA Austin, TX #LI-LM1 #LI-HYBRID At AMD, your base pay is one part of your total rewards package.
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We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a Distinguished Software Architect to help co-design our next generation data center platforms.
$460,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop custom tools and approaches for analyzing performance data from these complex architectures applying techniques from data science and machine learning (ML) to provide new insights into their behavior and propose innovative architectural changes to improve the system performance of these IPs. - Collaborate with system architecture and IP design teams to plan, implement, and validate a high-level performance model in C.
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We use data science, genomics, synthetic biology, and automation to discover potent, evolutionarily refined small molecules and their cognate targets from fungal genomes. Hexagon Bio leverages a genomics-based platform and understanding of natural product evolution to develop next-generation medicines for human disease.
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We are seeking an experienced Big Data Software Engineer to design, develop and deliver next-generation technologies within our Prisma Access team. Design, develop and implement highly scalable software features on our next-generation security platform as part of our Prisma Access.
$233,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position is ideal for those who are majoring in Computer Science or Computer engineering who would like to gain some hands-on experience in fraud detection and machine learning before graduation.
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Refine and organize domain data for Retrieval Augmented Generation and LLM fine tuning. Strong Computer science fundamentals: data structures, algorithms, distributed systems, large scale and resilient architectures.
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Master’s degree or PhD in Data Science, Machine Learning, Statistics, Economics, or a related field. Experience with data visualization tools such as Tableau, Power BI, or similar.
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