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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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technology-driven research spaces, demonstrating familiarity with high-speed computing plants and related needs in data storage, utilities and unique venting requirements to support research of all types
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Assistant Professor faculty position in the area of computational materials science with interests that may include, but are not limited to, quantum materials, multiscale modeling, and data-driven design of
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improving and extending existing modeling frameworks such as the Large Basin Runoff Model (LBRM) and data-driven Artificial Intelligence (AI) approaches, including Long Short-Term Memory (LSTM) networks and
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, gene editing, medicinal chemistry, and DNA-encoded library (DEL) technology, among others. For detailed information, please visit us at https://siais.shanghaitech.edu.cn/ . Join Our Institute: Faculty
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Department: Computer Languages and Systems Research profile: Model-driven engineering and intelligent and inclusive systems in health and education Position number: DF03222 Area of knowledge: Computer
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business driven innovative professional with entrepreneurial and/or technological experience in at least one of the following areas: entrepreneurial principles, new ventures, business models, innovation
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/computational methods to model and interpret strong-field quantum-light-driven phenomena. Publishing results in peer-reviewed journals and presenting at scientific conferences Mentoring graduate and undergraduate
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar, Interdisciplinary Data Science, College of Engineering [R0144891]. *Revised* ROLE of the POSITION The Howard R
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, and mineralogy Independent, self‑driven researcher with a strong problem‑solving mindset Proven team player, able to collaborate across multiple institutions Critical thinking to assess model