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Field
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acids in both tissue and liquid biopsy samples will be investigated. Examples of techniques that will be used in this PhD project include DNA/RNA isolation, DNA/RNA sequencing, spatial transcriptomics
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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, or related Experience and skills · Multi- and hyperspectral images processing · Knowledge of quantitative remote sensing · Knowledge of physical and statistical modelling concepts
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of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in scientific writing and communication skills very good knowledge
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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and
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related field. A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding of probability, statistics and optimization. * Proven expertise in
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of freshwater species which would facilitate greater spatial and temporal sampling of freshwater fishes in Madagascar. This project has a direct conservation impact providing data to support the sustainable
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. Using adipose tissue biopsies from individuals across a spectrum of metabolic disease severity, the project will leverage single-cell and spatial transcriptomics to map cellular heterogeneity and tissue
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(Probability, Statistics and Modeling Laboratory, CNRS-Université de Lorraine), EDF (Electricité de France), and Fives-Prosim. This doctoral program focuses on generative models for energy cycles. Its main