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Field
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grade point average of 3.0 (based on a 4.0 scale) or its equivalent in the undergraduate curriculum is required Working knowledge of large language models, generative AI, prompt engineering, and AI ethics
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statistical models aimed at substantiating the explanatory account the project will offer. Co-authoring papers for submission to top academic journals based on the research and contributing to the writing of a
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focus of the position is on application and advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning
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in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling
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mitigation, dynamic data integration, validation, and interoperability. The research will involve applying various techniques, such as representation learning methods and transformer-based models, to tackle
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Econometrics Virtual power plants Power systems and/or power electronics Machine learning Renewable energy systems Advanced statistics Language requirement: Good oral and written communication skills in English
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at CERI under supervision of Dr. Goebel. and should contribute broadly to induced seismicity research. Specific research topics include seismicity analysis, machine learning, reservoir modeling, geothermal
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advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning, computational chemistry, or related fields, with
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, development of complex data visualizations, and demonstrated skill in one or more of the following areas: machine learning, statistical analysis, natural language processing and text analysis; experience
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) utilizing animal models. This position offers an exciting opportunity to study the mechanisms of neuroplasticity and rehabilitation utilizing microelectrode array recording and stimulation techniques