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methods, including clustering, time-series analysis, and spectral libraries. Strong computer programming skills in Python, R, or equivalent. Good problem-solving skills; attention to detail; ability
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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
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computer usage. Shift Monday – Friday, 8:30am – 5:00pm (40.0 hrs/wk) with one 1 hour lunch and two 15 minutes breaks. Shift will flex as necessary to accommodate evening and weekends that are occasionally
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-/chemo-genetics, in vivo calcium/voltage imaging, high-speed camera with machine learning, and behaviors. The lab will provide the training for relevant experimental techniques. Recent lab publications
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, 40h) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The successful candidate will work in the group of the START research project "Universal structures in
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or oceanography. Research background should demonstrate competence -- or at least a clear and strong interest -- in artificial intelligence and machine learning to be applied in the field of environmental sciences
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Intelligence (MIAAI) at Danube Private University, led by Ramona Woitek, Univ.-Prof. Dr. was founded in 2022. It currently comprises multiple multidisciplinary researchers focusing on the computer-based analysis
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(9) Missouri Northeast Region (8) Missouri West Central Region (7) Jefferson City (6) Missouri East Central Region (6) Missouri Northwest Region (6) Missouri Urban (6) Any Univ of Missouri Campus (5
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(9) Missouri Southeast Region (9) Missouri West Central Region (7) Jefferson City (6) Missouri East Central Region (6) Missouri Urban (6) Any Univ of Missouri Campus (5) Missouri Northwest Region (4
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of a low-field MRI setup Machine learning-based control and data acquisition Development of software for reconstruction with a focus on AI-based algorithms What you bring to the table Above average