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mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Have a PhD, or be near completion, in the field of engineering, physical or mathematical sciences, related to explosive
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance
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language, most people also speak English. YOUR TASKS The Marchal lab (IDLab/IMEC Ghent University,https://idlab.ugent.be/people/802000961346) has an open PhD position within the Marie Sklodowska-Curie
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, silicon-proven AI/ML accelerator for transmitter error correction (digital predistortion/calibration). Your work will sit at the intersection of machine learning, DSP, and digital IC design, and you will
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for machine-brain interface, tissue repair, and disease diagnosis, monitoring and treatment, are especially encouraged to apply. The appointee is expected to conduct world-class research and to teach
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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outcomes of therapy. The lab is looking for candidates for the following two stipends: • Stipend 1: Computer Vision-Based Analysis of Humans. This PhD candidate will focus on developing new AI/computer
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technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on the importance
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process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and