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Tropical Atlantic Deoxygenation: gateway dynamics, feedback mechanisms and ecosystem impacts
Maritime and Hydrographic Agency and deployed in 2021 – could be recovered. These robotic floats are generally
Shaping inequalities or building social bonds? Ceremonial economy under and after socialism in Central Asia (1960s-2020s) – CEREMONIAC
The Ceremoniac project aims to analyse and understand the rationales behind the inflation of ceremonial expenditure in Central Asian societies from the end of the Soviet period until today. It aims at questioning the production or reinforcement of inequalities, generated by these practices while they remain powerful vectors of social cohesion.
New Antibiotics Tackling mUlti-Resistance by acting on Alternative bacteriaL tARgets in Synergy with mEmbrane-disruptiNg AntimicrobiaL peptides. – NATURAL-ARSENAL
Understanding the mode of action of new natural antibiotics in synergy with membrane-destabilizing antimicrobial peptides
DEEP Learning For Large Deep Imaging Programs – DEEPDIP
In future large surveys like LSST or Euclid, high precision photometric redshift measurements and light curve classification will play a central role. We propose to revisit the current methods used to analyze these data by developing deep learning techniques that will directly use the multi-band images at the pixel level to measure a redshift or to perform a classification.
Moduli spaces of Differentials: Flat surfaces and interactions – MoDiff
This project studies new problems of dynamics and geometry on moduli spaces of differentials (also viewed as flat surfaces), by exploring their interactions with combinatorics, enumerative geometry, complex geometry and hyperbolic geometry.
Analysis of SNARE-mediated regulation of plasma cell biology – PC-SEC
Plasma cells and the antibodies they secrete are essential for protective immune responses. However, they can also contribute to the pathology of numerous diseases. Despite their relevance in health and disease, the mechanisms underlying antibody secretion are still poorly understood. This is an essential question as a better characterization of the involved molecular actors may pave the way to improved antibody production, and to the development of new therapies for antibody-driven diseases.
Learning causal effects between phenome and exposome from large amounts of heterogeneous data in human complex diseases – GePhEx
Learning causal effects between phenome and exposome from large amounts of heterogeneous data in human complex diseases.
Training Adapted Personalised Affective Social Skills with Cultural Virtual Agents – TAPAS
Training Adapted Personalised Affective Social Skills with Cultural Virtual Agents
primary Antibody ImmunoDeficiencies: genetics and pathophysiological mechanism – AID
Primary antibody deficiencies (PADs) constitute a heterogeneous group of primary immune deficiencies diagnosed in childhood or in adulthood, which remain not well understood. Our project is based on the hypothesis that most B cell immunodeficiencies, e.g. hypogammaglobulinemia, have underlying genetic defects although the latter may be more complex leading to non-Mendelian inheritance pattern.
Analysis and Separation of Complex signals: Exploiting the Time-frequency structure – ASCETE
In this project, our goal is to develop new reassignment techniques robust to noise and that applies in circumstances where the signal exhibits complex time-frequency patterns, such as interference. Meanwhile, neural network and deep learning approaches will also be investigated, to extract meaningful information from time-frequency representations.
