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particular by employing advanced methods from the field of artificial intelligence (AI) and its subfield machine learning (ML). Where to apply E-mail career@lec.tugraz.at Requirements Research FieldEngineering
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science, mathematics, life sciences and beyond. Open PhD Projects in the summer PhD Call:*Artificial Intelligence & Machine Learning:Pharmacokinetic modelling of [18F]FET PET in Gliomas and associations with tumor
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classical and quantum mechanics, and machine learning, will be employed alongside the development of precise enzymatic assays and high-throughput robotic platforms to deliver novel enzyme activities
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leveraging advanced computer vision and deep learning-based pose estimation from football match footage to analyze pre-injury biomechanical patterns and joint load dynamics. The research aims to create
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process, identification of parameters, variational modeling, and generative machine learning methods; see https://imsc.uni-graz.at/mr-dynamo for further details. As part of this research effort, we invite
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techniques for the analysis of arrays of RTD oscillators 5. Equation learning methods for nonlinear models for RTD oscillators Further details on the doctoral programme and the individual PhD topics can be
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First Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 9 Apr 2025 - 04:22 (Europe/Vienna) Type of Contract Temporary Job Status Full-time Offer Starting Date 30 Jun 2025
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and looking for a high-impact PhD project? Do you like analyzing single-cell sequencing data? Would you like to understand why some cells become cancerous and others don’t? Then this position is ideal
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and software development of the data acquisition system Optional: contributions to the setup of the new cryolab Optional: tasks may include methods of machine learning Where to apply E-mail
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numerical optimization, game theory and machine learning to design adaptive resource allocation strategies for the RAN. Simulate communication systems using programming tools such as Python or Matlab. Publish