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at Harvard. Our research focuses onuncovering the molecular mechanisms that drive brain aging and neurodegenerative diseases. We specialize in decoding glycans—complex carbohydrates that decorate our cells and
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materials modeling and mechanics, including molecular simulations, multiscale modeling, and/or machine‑learning‑based materials design Demonstrated publication record in peer‑reviewed journals relevant
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/scholarship during postdoc appointment period. Projects in the Birnbaum lab focus on plant regeneration and plant cell development. This postdoc will work on a new project on somatic embryogenesis in poplar and
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10 Apr 2026 Job Information Organisation/Company Gustave Roussy / Inserm Department U981 / Molecular Predictors and New Targets in Oncology Research Field Medical sciences » Cancer research
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 21 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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are looking for a highly motivated, innovative, and collaborative postdoc to lead research projects on centrosome and cilia biology as outline above. You have: A PhD in life science, e.g., molecular biology or
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/Qualifications Hold a PhD in Biology, Biochemistry, or a related field; Have a strong background in molecular and cellular biology techniques; Ideally possess experience with mouse models, mammalian cell culture
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. The successful applicant will demonstrate clear potential to become a leader in their field, with a strong research trajectory focused on computational modelling of molecular interactions and regulatory processes
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to design and conduct experiments with mouse models and human T cells isolated from healthy donors. Besides, she or he will collaborate with other team members to analyze the results and present the findings
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse