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experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including parameter estimation and uncertainty
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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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acquisition, calibration, uncertainty/rigour and noise control). Strong signal processing skills (e.g., using Python and/or MATLAB). Ability to work effectively in an interdisciplinary team and communicate
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow
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evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of your machine learning pipeline in Python (using e.g
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the undergraduate and graduate levels. Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in-software-engin… Requirements Research FieldComputer science » Computer systemsEducation
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into giving trends. Ideally utilizes R or Python to implement internal models as well as manage external models Identify and qualify new prospects through routine screenings and employment of electronic
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about the PI’s research, please visit http://yanglab.me . The University of Chicago is a global leader in biomedical research and offers unique opportunities for multidisciplinary collaboration
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Offer Description Scope of work The successful PhD candidates will be part of the group created by dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033