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source areas. With the shifting focus of policy from deposition to emissions (target management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what
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blood-related markers), —quantifiable indicators of physiological or pathological processes—offer a promising route for real-time physiological assessment. Advances in non-invasive sensing technologies
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This job opening is for the purposes of Reserve list recruitment on multiple positions. ESA is initiating a Reserve list recruitment process to meet the consistently high demand for Contracts
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-supervised by Dirkjan Schokker Where to apply Website https://www.academictransfer.com/en/jobs/358086/phd-ai-models-to-identify-disea… Requirements Specific Requirements You are an accurate, structured, and
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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? The research project Ependymomas are brain tumors that primarily affect children. Despite intense treatments like surgery, radiation, and sometimes chemotherapy, the survival rates remain low because some cancer
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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our department, especially treatable diseases (e.g., treatIMD). Collaborating with the computational metabolomics/bioinformatics team and contributing to the development of data analysis workflows
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optical probes on micro-photonic chips for submicron-scale optogenetics, the development of a neuron–computer interface system, and the use of iPSC-derived human neurons for all-optical physiology
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suitable evolutionary models Development and implementation of novel phylogenetic approaches, including those implementing protein structural information. Where to apply Website https