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Field
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degree in computer science 2 years of experience in machine learning research and development Strong background in generative AI Expertise in deep learning, generative AI, reinforcement learning
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variety of research activities under the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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environments. • Experience in at least two of: phylodynamics / genomic epidemiology, deep learning for sequence or tabular data, reinforcement learning, spatial modelling, or real-time nowcasting. • Demonstrated
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modulation, radar/sonar signal processing, and machine and deep learning. WORK PERFORMING: Individual will perform research generally in the area of statistical signal and array processing. Topics of specific
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
Molecular Dynamics, virtual screening, free energy calculations and Deep Learning), successful experimental collaboration experiences and excellent communication skills are preferred. Create a Job Match for
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
well as strong presentation and publication skills Desirable requirements: Experience in machine learning / deep learning (e.g., PINNs and neural‑operator methods such as DeepONet, FNO) In addition you have: A
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related