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, implementing, and solving complex optimization problems (e.g. linear, nonlinear, mixed-integer, or multi-objective optimization) Experience in energy management of renewable energy sources coupled with energy
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. At the division, we conduct research within functional porous materials for energy and environmental applications, nano biomaterials, sustainable electrical energy storage and energy transformations
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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effective treatment for these diseases, and the project will entail a search for novel therapies in cell models, which could be moved onto animal models and eventually, affected patients. This will include
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suppliers and select equipment in agreement with the project leader. Operate and monitor the system using a dedicated interface. Design, validate, and optimize protocols for encapsulating biomass in
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microbiomes to optimize end-of-life material processing and circular resource recovery. This position will be part of the UT-ORII’s Circular Bioeconomy Systems (CBS) Convergent Research Initiative (CRI
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cancer therapeutics. Experience in cell-based therapeutics is preferred. The Postdoc will develop and optimize novel dendritic cell and T cell therapies against cancers using sophisticated immunogenomic
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Advanced Detector R&D The High Energy Physics Group at Purdue University invites applications for a Postdoctoral Research Associate to join an interdisciplinary research program at the intersection of data
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools