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, Experience and Qualifications PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, becoming a key component for managing smart cities. Except for a few applications, DAS data are typically
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detection, to cite a few. As telecom fibers are ubiquitous in urban environments, DAS appears as a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, and a key component
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of the following areas are particularly welcome: 1). The United Nations human rights system and its main constituent entities; 2). The major regional systems (European, Interamerican, African
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Seppelt, Director of the Luxembourg Centre for Socio-Environmental Systems (LCSES) Email: Your profile The successful candidate will apply modern data science techniques, including the analysis of large
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the analysis of large-scale health data, to systematically integrate evidence and identify patterns across diverse health outcomes. The ideal candidate will bring a proven interdisciplinary background
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Responsibilities: Ensure communication with internal and external stakeholders Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and
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transcriptomics) opens new research horizons on cancer pathologies. These data, of very large dimensions and volume, bring new methodological challenges in terms of statistical and mathematical analysis, as
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the reduction needed to restore anatomy is based on radiographic and CT scan analysis. Manual segmentation can be performed, but the process is time-consuming and subject to significant inter-expert variability