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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Knowledge of all CNC machining and/or sheet metal fabrication practices for both high and low volume runs required including but not limited to:3/4/5 axis milling.
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Cleans and disinfects dialysis machine surface, chair, equipment, and surrounding areas between treatments according to inpatient renal services policies and procedures. Performs all required pre-treatment dialysis machine alarm testing.
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Experience with machine learning and neural network frameworks on GPUs in Linux. An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Proficiency with scripting languages such as Python or BASH.Proficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc.
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Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries. Must have strong DS design knowledge and has experience in some Machine Learning /Ops/DevOps.
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Experience with the implementation of modeling and simulation (either PDE-based fluid dynamics, ODE-based signaling models, or agent-based modeling) or bioinformatics/machine learning skills (project-dependent.
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Compliance officer ensures that X-Ray machine calibration and maintenance is monitored and performed when needed. All PRP supply ordering and machine maintenance is handled by the clinical manager.
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Areas of practice are diverse, including, but not limited to, hemodialysis, peritoneal dialysis, continuous renal replacement therapies, apheresis, and ultrafiltration. Under limited supervision, applies considerable knowledge to perform a broad range of tasks which include but are not limited to direct patient care in multiple modalities not limited to hemodialysis, peritoneal dialysis, ultrafiltration, continuous renal replacement therapy, and Apheresis.
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Implement and develop machine learning-based protein design solutions for structure prediction, paratope/epitope analysis, affinity maturation, developability assessment, scaffold optimization, library design, immunogenicity and other protein engineering challenges.
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Apply advanced knowledge in machine learning, text mining, natural language processing, and computational semantics to develop innovative solutions. Machine Learning, Statistics, NLP, Computer Vision, Data Science.
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Experience with applying computational and machine learning approaches to protein engineering with proficiency in multiple thermodynamically driven modeling systems including FEP. In addition, the Head of ADPE will also lead key technologies for the discovery of our future drug candidates including protein engineering, thermodynamically driven protein structural modeling, and use of machine learning which are integral to the discovery of our future drug candidates.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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machine job Company: Gradient Ai in Rockville, MD
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