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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
, precise transport, controlled release, and therapeutic activity. • Characterize and optimize these biotherapeutics in vitro by assessing their structure, functionality, and stability under storage and
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on the design, optimization, and implementation of integrated quantum sensor architectures. As part of a multidisciplinary team, you will explore innovative, energy-efficient approaches to precision sensing in a
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optimizing pharmacotherapy to manage pain and substance use disorders. It is the only research center with this focus housed in a college of pharmacy in the world-renowned Texas Medical Center (TMC). The
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with companies. GPDS develops different lines of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization
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aligned with the lab’s research objectives 2. Optimize and troubleshoot experimental protocols, including in vivo mouse models, molecular assays, imaging, and dissection techniques 3. Analyze, interpret
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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master's degree in agricultural or environmental economics, applied mathematics, or a related fieldGood background in bio-economic modelling, CGE modelling, and optimization techniquesExperience with
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, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution