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computational reconstruction methods based on AI (deep learning) and/or compressed sensing. The envisioned imaging system will be based on a hybrid open-top light sheet microscope recently implemented in our lab
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research unit UMR2000 Evolutionary Genomics, Modeling and Health . It offers strong expertise in virology, molecular biology, population genetics and genomics, and access to high-performance computing
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framework (Simulation Open Framework Architecture) High-performance computing and cluster computing experience Background in biomechanics, robotics, or computational neuroscience Additional Assets: Experience
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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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We are recruiting a Postdoctoral Researcher to join an internationally funded, collaborative research program focused on Plasmodium falciparum liver-stage infection. The project seeks to identify
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Mice will be exposed to a brief high-intensity noise episode (6–12 kHz) known to reliably induce measurable TTS. Functional hearing assessments—including auditory brainstem responses (ABR), otoacoustic
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are exploration strategies implemented in real biological neuronal circuits and how do such circuits maintain their stability amid high noise levels? We will focus on exploration/exploitation trade-offs and context
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Trust RACSMEI project), ii) modelling influenza antibody landscapes from 4 continents, with a high-throughput serological test measuring antibodies against 55 influenza strains that circulated over
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Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities for machine learning to address outstanding biological questions
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something different from standard ML roles. Rather than focusing only on performance, we aim to understand how models work and what they reveal about the brain. You will: Own your project and drive ideas from