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Field
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the laboratory of Dr. Tai-Yen Chen. The Researcher will contribute to an active research program focused on single-molecule biophysics, super-resolution microscopy, quantitative analysis of membrane protein
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to support a project that aims to create openly available computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding
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strategies to reduce hallucinations or improve model confidence Evaluate and benchmark against state-of-the-art methods the reliability and robustness of the hallucination detection system under diverse visual
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generate the corresponding code. Exploring new approaches to the management and visualization of large volumes of data, especially in geospatial or real-time contexts. A duration of 12 months is estimated
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processing Graph signal processing Machine learning - supervised, unsupervised and reinforcement and tools such as TensorFlow, PyTorch, Keras and GreyCat Neuromorphic computing, spiking neural networks Deep
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding of neurodevelopmental epilepsy. Identification of common genetic mutations in
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and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other Participation in ensuring operational and
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, transformation, transfection, transduction). DNA sequencing DNA, RNA and protein isolation techniques Gene expression analysis by Real Time PCR and semi-quantitative PCR Methods for quantitative protein