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for translational impact. Candidates should hold a Ph.D. or M.D./Ph.D. in molecular biology, hematology, immunology, prostate biology or a related field. Experience with mouse models, stem cell assays, single-cell or
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://www.ins2i.cnrs.fr/fr/cnrsinfo/laura-cantini-un-projet-erc-start… https://research.pasteur.fr/en/project/multi-viewcell/ Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is
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on eye diseases focuses on developing new therapies for conditions that severely impair vision. The group employs advanced molecular and genetic methods, as well as disease models, to better understand
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Description The International Max Planck Research School for Molecular Plant Science (IMPRS MolPlant) is a doctoral programme in plant science at the Max Planck Institute of Molecular Plant
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dysfunction in heart failure, sepsis, and related inflammatory conditions. Utilize in vitro and in vivo models, including mouse models of sepsis (e.g., CLP, LPS), ischemiareperfusion injury, and vascular injury
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-throughput methodologies. Minimum four (4) years of experience with biochemical and molecular biological methods. Interest in mathematical modeling of metabolic and regulatory network. Modes of Work Positions
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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opportunity for translational impact. Candidates should hold a Ph.D. or M.D./Ph.D. in molecular biology, hematology, immunology, or a related field. Experience with mouse models, stem cell assays, single-cell
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quality and climate. Our goal is to understand how these gases are produced and removed in peatlands and to bring this knowledge into climate models. Project links - https://villumfonden.dk/en/projekt
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: Molecular Thermodynamics Modeling for the Energy Transition The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational