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: Framework Development: Design and implement a generative deep learning framework for cross-modal integration and analysis, resilient to distribution shifts. Correlation Discovery: Identify interpretable
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communication environments. For the advertised PhD researcher position, this work involves written and multi-modal corpora development and analysis, and working with computational models of irony and analysis
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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“Multi-modal proteomics to understand and overcome niche-related adaptive drug-resistance mechanisms in FLT3-mutated AML“ we are looking for a PhD student. The project is is part of the SFB/CRC 1709
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Neurophysiology) at Justus Liebig University Giessen. We investigate how olfactory and taste signals are processed in the insect brain, particularly in Drosophila melanogaster , and how these signals are translated
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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-modal datasets. It will use advanced analytical models to generate evidence about new and existing inflammatory pathways and how these will impact the progression of dementia. The PhD (DPhil) programme
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compound known to elicit the umami taste in humans. However, a desire to lower the sodium content of foods coupled with adverse consumer perceptions of this compound has led to the search for alternatives
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This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to
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instructions, and tolerance assessments, along with multi-modal model analysis. Key Responsibilities: Develop and refine a hybrid metrology technique, based on an X-ray metrology platform, in order to achieve