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environmental engineering (candidate status) and a demonstrated record as a lead author on publication(s) using machine learning algorithms to forecast water quality. Fluency with open source coding languages (R
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clinical data. The postholder will design and develop new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic
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experienced programmer, preferably using the Python programming language. You are interested in automatic algorithm configuration, and have perhaps even worked on related problem areas of artificial
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. The candidate will work on wind turbine and wind farm control, developing innovative control algorithms and validating them through wind tunnel testing. The candidate will also be responsible for teaching
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algorithms Preparation of manuscripts Flexibility, excellence, and passion are vital qualities within CMU. Inclusion, collaboration and cultural sensitivity are valued proficiencies at CMU. Therefore, we
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training. His research focuses on developing algorithms to predict gene targets and target tissues affected by chemical exposures, as well as investigating how environmental exposures influence human health
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multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address fundamental scientific challenges
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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algorithms, system design, discrete mathematics and optimization, machine learning, natural language processing, generative AI, and AI engineering. Candidates must have some proven research record and/or
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networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks