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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
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with non-trivial and intricate geometric properties. These data often exhibit complex relationships and dependencies that go beyond Euclidean spaces, necessitating sophisticated techniques for analysis
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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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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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closely with bioinformaticians, immunologists, and diabetologists to ensure integrated analysis and interpretation; Prepare scientific manuscripts for publication and present findings at national and
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Exploit an existing clinical database containing numerous follow-up FDG/PET exams o Develop modeling methods for the time-series analysis of PET-CT data o Develop a methodological formalism for integrating
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this analysis is to try and predict whether two minima have a direct connection, and the next step would be to predict the corresponding transition state geometry. These capabilities are necessary to make
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health services research; Support data collection, cleaning, management and descriptive analysis; Participate in the development of infographics; Contribute to the drafting of a scientific paper based on
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-series analysis of PET-CT data o Develop a methodological formalism for integrating heterogeneous biomedical data o Gather knowledge in advanced statistical learning methods o interact with the researchers
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Marie Skłodowska-Curie (MSCA) COFUND scheme. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging techniques and data analysis