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Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
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industrially-relevant human-made materials. This project will address key priorities in the microscopy sector by developing workflows that integrate cutting-edge imaging and characterization techniques and
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neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry, to large-scale functional imaging of brain
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prototype system based on advanced commercial sensors for fall risk assessment and rehabilitation. The project includes both experimental sensor data acquisition and algorithm development. You will be
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, healthcare and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on tabular data is lacking. With the TRL Lab (Table Representation Learning Lab
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organizations and typically informs important decisions in healthcare, governments and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on structured
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dialect speaker’, experiences of encountering other language and cultural codes and norms in relation to migration from rural to urban areas, or shifting attitudes toward dialect speakers over time. It is
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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/sollicitatiecode/ and European Commission's European Code of Conduct for recruitment of researchers