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Field
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materials characterization (e.g., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 21 days ago
sequencing and/or GWAS datasets Experience in data visualization Knowledge and experience in bioinformatic programming using Linux, R, and Python Excellent analytical, organizational, and problem-solving
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experience with advanced methods of theoretical chemistry. Knowledge of and practical experience working in an HPC environment. Knowledge of programming in Python. Experience in processing 4D-STEM datasets
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publications and international conference presentations. Experience from programming with e.g. Python, Ability to express yourself very well in English, in speech and writing,as this will be required in day-to
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and convex optimization. Prior experience in software development in machine learning systems is highly desirable. Proficient in Python and ML frameworks such as PyTorch. Independent, highly analytical
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, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio
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including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis, music generation, neural audio codecs, diffusion models, audio language models, watermarking
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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
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. Candidates must be supportive of the mission of the Land-Grant system. Candidates must also have a commitment to UF core values . Preferred: Experience with R/Python programing languages is desirable. Special
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is