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FEDER funds (COMPETE 2030) and national funds by FCT/MECI, operation no. 16373, under reference COMPETE2030-FEDER- 00753700, in the area of biotechnology under a work contract for a non-fixed term, aiming
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Proteins are key biomarkers, indicative of normal biological or pathogenic processes and responses to intervention. Identification and quantification of such molecules in biological fluids is
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a manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 24 hours ago
the onset, progression and chronicization of fibrosis, and impact on innovative therapeutic strategies to target these processes with relevant publications in the field. Expertise in advanced techniques
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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. Description This project will investigate how peripheral immune signals shape brain and brain-border immunity and drive neuroinflammation in synucleinopathies and other neurodegenerative diseases. The candidate
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more complete picture of the applicant's scientific achievements. Evaluation criteria. The research project and the interview with the applicant will be evaluated on a 10-point system. The research
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small water bodies are often the first point of entry for sources of pollution such as manure runoff (rural areas) or sewage overflows (urban areas), they also offer a starting point for a direct, source
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systems as most biomolecules are chiral and their interactions with other chiral objects are fundamental to many key biological processes. Chiral molecules exist in two forms, a left-handed one and a right
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or remotely operated robotic systems, preferably in underwater or field robotics. The candidate should have strong competencies in control theory, sensor fusion, and signal processing, and demonstrate