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detection or segmentation. Use of pre-trained state-of-the-art models like SAM 3 to generate annotations. Training models like YOLO, RT-DETR, Mask R-CNN. Analysis of existing datasets regarding the clothing
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system performance, analyze logs, and perform complex troubleshooting and root cause analysis for hardware, software, and network issues. Implement and maintain robust security measures, including host
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position as Research Associate / PhD student (m/f/x) Integrating Material Flow Analysis and Digital Twin Approaches to Enable Material Autarky in the Construction Industry (subject to personal qualification
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the goal of providing care ‘close to home’ whenever feasible. https://pediatrics.uchicago.edu/ The DOP has a long and proud history of research and discovery in the basic, clinical and translational sciences
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innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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research impact. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a motivated, detail-oriented researcher enthusiastic about
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to the organization Networks with faculty, staff and leaders from all levels of management to perform analysis of the data to Looks for trends and opportunities and develop recommendations for improvements Consults
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relating to sample prep, analysis and data processing to deliver workflows for each class of analyte. You’ll take pride in your research, and you’ll be motivated to publish and present your data to show the