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French National Institute for Health Research (INSERM) | L'Haÿ-les-Roses, Île-de-France | France | 16 days ago
multidisciplinary research bridging tissue mechanics and transcriptomics, with the goal of understanding how mechanical signals guide cancer cell plasticity. The project will involve developing pipelines to
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Loyola University of Chicago - Cell and Molecular Physiology Department | Maywood, Illinois | United States | about 2 months ago
seek a collaborative colleague whose research program is focused on fundamental mechanistic processes related to cardiac physiology, cell physiology/ mechanics, and/or molecular neurophysiology
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as cell cytoplasm, mucus, tissues, gels or soil -- serve as a natural propagation media of most microorganisms, including bacteria, sperm, and, more recently, synthetic swimmers. The interplay between
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, probability theory, dynamical systems, statistical mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop
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research within the MSCA Doctoral Network POSEIDON ( https://poseidon-dn.eu/ ). The postholder will be assisting in developing the next generation of ecofriendly offshore windfarms and closely collaborating
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biomimetic hydrogels whose mechanics, dynamics, and functionality can be controlled in space and time. Your colleagues: You will join the “BioMatt” group of Dr. Matthew Baker ( https://merlninstitute.com
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to study mechanobiology and cell–matrix interactions; and (v) engineered drug delivery systems. The lab is composed of a highly interdisciplinary and international team of motivated researchers. To
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the Horizon Europe Marie Skłodowska‑Curie Actions (MSCA) Doctoral Network ‘MicroMan4Health’ on Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https
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, for example, but no limited to, bio-fluid mechanics, bio thermodynamics, bio- transport phenomena, biomaterials, biomechanics, bioinstrumentation, bioimaging, human physiology, cell biology, etc. • The
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current focus on the brain to uncover the physics of continual learning instead by investigating the emergence of learning bottom-up in life, reduced in complexity to a network-shaped single cell