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We are looking for experience in mechatronics (mechanical-electrical-software machine/fixture design), electromechanical fixture design, and motion control and NX. This experience is most important.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
$8,554 a monthPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Docker/Kubernetes, Kubernetes, Singularity, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions.
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The Opportunity Adobe is looking for a Machine Learning Engineer who will participate in various stages of the machine learning pipeline, including data collection, cleaning, preparation, model training and fine-tuning, and evaluation.
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Data analysis and visualization experience (matlab, python, JMP) Expertise in various manufacturing techniques such as injection molding, sheet metal stamping, forging, die casting etc. Data analysis and visualization experience (matlab, python, JMP.
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Investigate ways to utilize big data and machine learning to enhance reliability testing and create new early warning systems. Become the gatekeeper of reliability risk during product ramp and full production, making data driven recommendations on how to effectively address reliability excursions and newly identified failure modes.
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Data analysis and visualization experience (matlab, python, JMP) Familiarity with project and process planning techniques such as DFSS, V-Models, Gannt charts, or other similar tools. Technical Requirements: Fluent in NX and advanced surfacing techniques Proven experience designing high precision mechanisms and electromechanical assemblies and systems Expertise in various manufacturing techniques such as injection molding, sheet metal stamping, forging, die casting etc.
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Understand the performance and functionality requirements our ICs must deliver to enable customers to develop Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
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Drive improvement on power measurement methodologies, test automation, and processes across compute and Machine Learning products. Experience in one or more scripting languages (e.g., Python) for test automation, data collection, and analysis.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing.
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This leadership role requires an individual with a strong background in data science, retail operations, machine learning, predictive modeling, and statistical analysis. Profound knowledge of machine learning, predictive modeling, and statistical analysis techniques.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Advanced degree in linguistics, computer science, machine learning, cognitive science, psychology, economics, or similar (preferred). Our leading innovative consumer brand is seeking a Data Operations and Market Analyst to join their team.
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Scientific computing, protein-protein interface, Python, Git, protein structure-function, protein-protein interfaces, bioinformatics, machine learning, AlphaFold, ESM, Rosetta, RF Diffusion, MaSIF.
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MS or Ph. D. in Computer Science, Software Engineer, Data Science, Machine Learning, Statistics, Operations Research or related field. Proficiency developing machine learning solutions using Python and its associated ecosystem — numpy, pandas, TensorFlow, PyTorch, etc.
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