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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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) experiments; Performing irradiation with X Ray (Centre Baclesse – Luxembourg) and High-LET particles (CNAO – Italy); Performing cell survival analysis, DNA double-strand break analysis, radiosensitization
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, the adoption of Machine Learning (ML) techniques for the analysis of archaeological data sets is rapidly increasing [Mackenzie, 2017, Mesanza-Moraza et al., 2020, Bickler, 2021, Palacios, 2023]. ML applications
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Euclidean spaces, necessitating sophisticated techniques for analysis and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, graph signals, etc. A
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mass spectrometry and cheminformatics software and workflows, primarily for target and non-target metabolomics, exposomics and environmental analysis within the Environmental Cheminformatics Group and
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maintenance and data analysis; Established expertise in in vivo ultrasound and/or optical imaging is an asset; Desire to extend knowledge to address the varied needs of the imaging platform, including
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synchronize all collected signals. A detailed analysis of the data will then be carried out to exploit all the collected information in a coherent and relevant way. Several existing tools will be integrated
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, and research publications Contribute to the HBSC Website maintenance and update Support and tutor students working for the HBSC project Contribute to the quantitative analysis of the Luxembourgish HBSC
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non-redundant collection of data for each new case of cancer (excluded non melanoma skin cancer). The RNC is aimed at providing an objective analysis of cancer evolution in Luxembourg, and enables
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) Experience in environmental microbiology Experience in bioinformatics or advanced data analysis Experience in teaching, training and supervision of students. ** Don’t meet every single requirement? We