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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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., interoperability, extensibility, modularity, scalability, etc), software evaluation Green Computing & Sustainable Software Design. Microservices architectures Software Integration & API Design (OGC standards, etc
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settings; randomized controlled trials. Administrative expertise: Proficient with Box, Google Suite, Microsoft Suite (Word, Excel, PowerPoint, Outlook, Teams), Zoom, and ability to learn new statistical
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. Knowledge of IoT communication protocols (MQTT, CoAP, LoRaWAN, Zigbee, BLE, Wi-Fi, LTE, etc.). Experience in integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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Materials: Please submit application via Google form: https://docs.google.com/forms/d/e/1FAIpQLSfAS-egCfr_XyEVyfHOteldrYpN4OBmsEakpZeR652flQIsKA/viewform?usp=dialog (link is external) Does this position pay
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. · Publish manuscripts reporting the project’s progress and innovations. Applicants must have a PhD by the position start date. The applicant should be an expert in Python programming and deep learning APIs
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community. Located in the heart of New York City, we foster strong research collaborations with several top technology, media, and financial firms including Google, Meta, IBM, Microsoft, AT&T, Bell Labs, NEC
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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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