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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). Your work tasks As a PhD student, you will conduct
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teaching can be expected. The position is available for 2,5 years with the possibility for extension. For further information please contact Prof. Christine McKenzie (mckenzie@sdu.dk ). Application, salary
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brainstem response as well as psychophysics; Performing playback studies and analysing behavioural response data; Calibration of sensors; and Participate in other projects on echolocation and hearing in
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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information from Associate Professor Carsten Jahn Hansen, 9940 8286 jahn@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on Department of Sustainability and Planning here Qualification
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess
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uncertainty and complexity. The PhD student will have the opportunity to leverage data and expertise from the megawatt-scale HPP research facility at Risø Campus, significantly enhancing the practical relevance
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flights (including FPV) for a range of drone prototypes and specific operations Evaluate and assess the performance of various drone prototypes Log data and assist with reporting of test activities
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paths at DTU here . Further information Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca Pezzarossa . You can read more about ESE at www.compute.dtu.dk