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Field
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Responsibilities: Set up and optimize local, open-source AI models (Stable Diffusion/ComfyUI) on high-end workstation hardware, with no cloud dependency. Train local LoRAs and ControlNets on a curated archive of the
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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provides policy making, program direction, coordination, liaison, and expert advice to agency leadership and programs in support of FDA's science-based regulatory efforts. Research Project: You will
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-cloud robotic control at our Garmisch-Partenkirchen campus. The project investigates how advanced robotic control and AI-assisted teleoperation can be safely deployed over communication networks with
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funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description -Explorar el uso de las propiedades ópticas de
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2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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qualifications: Bachelor's degree in a relevant computational, biomedical, or engineering field. Experience with PyTorch, torchvision, scikit-learn, OpenCV, R, SQL, or cloud-based development tools. Demonstrated
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experience in cloud computing and utilizing data from the All of Us Research Program are particularly well-suited for this position. Outstanding U of A benefits include health, dental, vision, and life
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. Experience using high-performance computing and/or cloud computing. Ability to work independently as well as collaboratively in an interdisciplinary research environment. Strong written and oral
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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine