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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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, cross-disciplinary theory development, and improved STEM student engagement in entrepreneurship and innovation, towards a strengthened global talent pipeline for STEM-based start-ups. The successful
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Engineering, or equivalent work experience. Degree or equivalent in appropriate discipline Certificates or verified experience Experience Knowledge of control systems design. Clear communicator with good
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by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society. At the Institute of Sensor
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design. This role is ideal for candidates with strong wet-lab experience in microbiology, molecular cloning, and antimicrobial assays. A working knowledge of basic statistics is required. Additional
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strategies for turbine wheel design Collaborate closely with an experimental PhD student and industrial researchers This is a rare opportunity to lead innovation at the interface of materials, mechanics, and
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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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generation of experts in ingestible medical technologies. These orally delivered, minimally invasive devices are designed to traverse the gastrointestinal (GI) tract, enabling diagnostics, therapy, sampling