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Accelerated AI Algorithms for Data-Driven Discovery (A3D3; https://a3d3.ai). We are seeking a post-baccalaureate research fellow (Postbac Researcher) to join our interdisciplinary team of scientists and
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with research interests in FinTech (including cryptography and blockchain, AI, data visualization, analytics, business modeling, process automation, algorithmic trading, technology forecasting and
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Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
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of digital technologies for individuals with mental illness. These technologies may include algorithms, wearable sensors, and apps for digital phenotyping, ecologically valid assessment (e.g., cognition
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need. Apply AI and machine learning algorithms to software engineering projects in the researcher’s specific domain. Application of Domain Expertise Initiate and maintain open collaboration with
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the future of pediatric oncology, neurodegenerative disorders, and sickle cell disease. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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oversee installation of building automation systems, communication networks, computers and instrumentation hardware. Ability to install and oversee installation software algorithms for distributed
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others. Position Description The successful candidate will be expected to conduct