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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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Job Description Apply now Req Id: 37376 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary The Language Learning and Meaning Acquisition Laboratory at Purdue
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. of Forestry & Natural Resources at Purdue University. The position will be jointly supervised by Drs. Matt Ginzel (Purdue) and Vikram Chhatre (USDA Forest Service) and will be based at the Hardwood Tree
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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research mission, collaborating with an international and multidisciplinary team, all while receiving outstanding team-based mentorship. This position is based on the Indianapolis location. Remote options
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on application to industrial processes. The candidate will conduct CFD simulation for addressing complex single and multiphase reacting flows in complex geometries. Research and development activities will include
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, atomic force microscopy. Proven ability to develop new semiconductor process steps/flows leading to significantly improved device performance and/or enabling new device types. Excellent written and oral communication
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at the intersection of mitochondrial biology, apoptosis, and cancer therapy Gain hands-on experience in chemical probe development and drug discovery Collaborate closely with internal team members and external partners
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics
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of mental health risk. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal studies. Lead the write-up of scientific papers to disseminate