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, application of machine learning methods to climate science. Climate models of varying complexities and their possible mitigation strategies. Emergence of extreme events in weather and climate. Research
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to teach basic courses in AI (in particular machine learning) for non‐technical audiences, and advanced courses for expert and professional audiences, in particular on generative AI methods, while developing
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using novel transgenic and optogenetic methods may reverse pathological metabolic and functional reprogramming. These studies will involve using small animal in vivo models of heart failure, functional
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reputable institution. Key Responsibilities: Teaching: Develop and deliver undergraduate and/or graduate courses in specific subjects or fields. Utilize innovative teaching methods and technologies to enhance
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qualitative research methods. Applications will be considered on a rolling basis. Please submit: A cover letter including teaching interests. Your curriculum vitae (CV). One writing sample. (Optional) A
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, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Internationally highly esteemed
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: (1) hydrogen-related materials, (2) battery materials, (3) quantum materials, (4) semiconducting materials, (5) artificial intelligence materials, (6) metal and inorganic materials, (7) organic
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) Artificial intelligence materials, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Highly
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teaching and research at a reputable institution. Key Responsibilities: Teaching: Develop and deliver undergraduate and/or graduate courses in specific subjects or fields. Utilize innovative teaching methods
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MHS is to maximise the regulatory relevance of genomics and transcriptomics data by developing methods and standards to group/classify industrial chemicals based on their modes of action.