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disciplines). Experience in/Dedication to: planning and conducting chemical experiments, chemical analysis, process modeling/simulation, and optimization Team player skills and enthusiasm to work in a multi
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research project; ”Exploiting the genomic architecture of ectopic calcification: from variants to genome-guided therapy, using pseudoxanthoma elasticum as a model." Mineralization of soft tissues such as
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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-spotted spider mite, is among the most harmful pest insects worldwide. Due to its exceptional ability to adapt to various crops and pesticides, this mite serves as an excellent model system for studying
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: the aluminum oxide layer is fully recyclable. As a PhD student, you will contribute to the development of multiphysics (electromagnetic & thermal) models for windings of electric motors. Also, you will study how
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preclinical experiments on ex vivo brain slices and in vivo rodent models to investigate and optimize the effects of TIS Analyze ex vivo and in vivo electrophysiological and fMRI imaging datasets Collaborate
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; Clinical Translational Sciences and Experimental Therapeutics; Imaging, Modeling & Simulation; CNS Diseases and Drug Addiction. The position is a full-time, non-tenure-track, 12-month appointment based
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wireless technologies. You implement the designed solutions on embedded hardware platforms and experimentally validate their performance. Experimental validation can be backed by modelling or theoretical
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic
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disease phenotypes. Send resume to: Eric Hoffman, Ph.D., Radiology, University of Iowa, 200 Hawkins Drive, Iowa City, Iowa, 52242 319/356-1381. Key Areas of Responsibility Experiments, Simulation, Modeling