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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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developed so far to more general geometric settings, including discontinuous coefficients, obstacles with Dirichlet or Neumann boundary conditions, and possibly manifolds. Details on the scientific project
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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Micha, Research Engineer at CNRS/ESRF, This Post-doctoral position focuses on the development of interpretable artificial intelligence methods for detecting and analysing anomalies in synchrotron beamline
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liquids stand at the forefront of condensed matter physics. By joining our team at École Polytechnique, you will be at the heart of these discoveries, developing a next-generation thermal transport
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available to work on computational models of artificial evolution for aptamer design, expected to start between November 2025 and February 2026. Aptamers are often obtained through rounds of in vitro
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to preserve the internal charge and handle the output signal of the RE (buffering function, polarity and gain adjustment). More precisely, a new embedded analog system will be developed, tested and evaluated
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processes (development, immunity, stress responses, etc.). RNA stability regulation has been associated with the pathophysiology of various diseases [3–5]. This mechanism is especially important when rapid
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of the auditory nerve [2] and brainstem to simulate neurograms and guide the development of diagnostic tools based on Auditory Brainstem Responses (ABRs). Despite normal audiograms, individuals with ANSD often
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of the ubiquitin system that drive its dynamic interactions. Objectives. The post-doctoral fellow will work on the development of a robust detection pipeline for sub-single-cell proteomics. Training and research