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Field
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of AI models and architectures as well as methods, demonstrated, or projected, that are used to interpret mathematically different classes of AI models, and which we believe can be used in
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of advanced energy systems, including Li/Na batteries, flow batteries, and electrochemically driven chemical manufacturing, with scalable architectures for real-world applications. Key Responsibilities: Conduct
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. Perform other relevant duties as assigned. Required Qualifications Minimum of a PhD or Doctorate in Ph.D. in Architectural Engineering, Environmental Engineering, Civil Engineering, Atmospheric Science, or
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to compare the genetic architecture of rare vs. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare
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samples, which include: characterization of the architecture and structural expression of coal-entrained deformation bands and faults at the outcrop scale sample collection of coal-entrained faults
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on studies of the genetic architecture of cardiometabolic diseases, especially the metabolic parts of these diseases and traits. This postdoctoral fellow will be jointly supervised by Dr. Lu (https
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students involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering
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Objective To design, implement, and validate a secure runner architecture based on the principles of isolation, ephemerality, and full encryption, using approaches such as hardware enclaves, infrastructure as
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research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture
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foreseen in project: SMARTBET H2O – “Smart Blockchain Enhanced Telemetry for H2O Management Systems”. The objectives of this work consist of: (a) Definition of the architecture of a permissioned blockchain