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Field
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: The objective of this project is to develop audiovisual content for a model of immersive data representation and visualization on different devices. Work plan: The work plan for the research grant was designed
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 1 day ago
experience in: • Cell culture techniques. • Genomics and sequencing technologies. • Quality management systems. • Use of computer applications and databases. • Statistical analysis. Desirable qualifications
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analysis, and/or optogenetic methods. Experience with developmental neuroscience, ion channel biology, mouse models, and quantitative data analysis is highly desirable. This Postdoctoral appointee may be a
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Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other
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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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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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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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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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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