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Apply Now Responsibilities* In the field of clinical pain research, design studies and projects to generate preliminary data and develop and implement Statistical Analysis Plans (SAP) for newly
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applications, such as wireless and wireline communications, satellite systems and high-accuracy radars and sensors for industrial automation. Multiple research associate / PhD candidate positions are available
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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dysfunctions result in rare human diseases known as ciliopathies that affects multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental retardation, renal and breathing
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oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic
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in the Power Electronics Group at UT and collaborate with experts from Seine Batteriesysteme, NRG2Fly, and multiple airports. The project also supports open-source developments in MW-charging protocols
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well as driving design and process development improvements to the platform. If you're eager to be part of a world-renowned research institution and make a tangible impact on cancer treatment, apply today! Role
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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environments as well as continuing to develop step-change advances in viable alloy and composite compositions. The resulting techniques and understanding will enable the sustainable life-cycle of advanced
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use by the group employ multiple-input multiple-output (MIMO) technology and can be connected to build a distributed and cooperative network. To develop signal processing techniques, the group