Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
and non-immune cells influences the disease outcome of airway and brain disorders (Eur Respir J. 2025 65:2401114, Nature Immunology. 2022 23:1714). The candidate should have strong interests in
-
mapping and imaging experiments to probe local heat transport and phonon dynamics; Perform finite element modeling (FEM) (e.g., using COMSOL Multiphysics) to simulate thermal transport processes and support
-
well as uphold IT services and safety regulations at work. Mandatory Qualifications Education PhD in Solid State Physics or a related field. Experience and Technical Skills Familiarity with phoTonic crystals and
-
of junior lab members. Qualifications Required Qualifications: PhD, experience with enzyme assays, HPLC, LCMS, and bacterial genetics About the Department Our mission is to conduct fundamental research and
-
(scRNA-seq) • Perturb-seq (combining genetic perturbations with scRNA-seq) • Functional testing of beta cells • Advanced microscopic imaging and flow cytometry with imaging You don't need to know
-
environment in the School of Physical Sciences. Maintain cell cultures and perform imaging studies and analysis on these cultures. About You Essential: A PhD in physics, biology, applied mathematics, computing
-
drive such an attraction (J Chem Phys 2020, Langmuir 2022, Nature Nanotech 2024, Nature Communications 2025), now opening up many new and exciting avenues of exploration across scales, from molecules
-
are subject to change as research needs change. It is expected that up to 20% of job duties may change annually. Qualifications Qualifications: PhD degree required in ecology, plant or microbial biology
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
along the western Antarctic Peninsula. Nature Communications Earth & Environment, 6, 456. https://doi.org/10.1038/s43247-025-02435-6 Miller, C. E., et al. (2025). Airborne imaging spectroscopy surveys
-
learning and image processing techniques for estimating the onset of arterial disease. 2)Implementation of denoisers as priors for the solution of inverse problems. Implement code in PyTorch and other