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Field
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lecturer and 3 PhD students. The functions of the hired candidate will be: experimental design, conducting the experiments, data analysis, processing and interpretation of the obtained data, drawing
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analysis and data integration Clinical neuroscience Data science / artificial intelligence Applied mathematics / statistics Requirements PhD (completed or near completion) in a relevant field Strong
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structure methods, including DFT or related approaches. • Excellent programming and data analysis skills. • Track record in leading the writing up of research articles for publication. • Excellent
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adaptation in rare endocrine malignancies. Main responsibilities and duties: Conduct high‑quality research aligned with project and lab objectives, including rigorous data collection, analysis, and literature
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, VASCOVID and REHAB COVID projects. It will be carried out in collaboration with Parc Tauli Hospital (PI: Jaume Mesquida). The fellow will be in charge of data acquisition, analysis and interpretation as well
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distribution, and therapeutic efficacy in joint disease models. Technology Translation: Drive the translation of the nanomotor platform from preclinical research toward clinical application. Data Analysis
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interviewing human participants, particularly in situations of forced displacement and inadequate housing, data analysis, preparing and publishing scientific articles, and presenting work at academic conferences
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publications in top conferences like ICDAR, CVPR, ECCV, ICCV, AAAI, NeurIPS. The candidate should have a strong background in Large Language Models and experience in the document image analysis field. Experience
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of PFAS. 4.- Close collaboration with researchers at ICRA working on the development of PFAS analysis and PFAS destruction technologies. 5.- Preparation of scientific publications and participation in
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to better understand peptide-mediated mRNA decay (PMD). Key responsibilities include: Development of sequencing approaches to identify PMD substrates Bioinformatic data analysis and visualization