Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
safety, combining simulation, laboratory testing, and in-orbit validation. The candidate will create dynamical and photorealistic 3D models of the tether and spacecraft to support both engineering analysis
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
Qualifications, Competencies, and Experience 1-5 years of experience in Biomimetic in vitro hydrogel platforms synthesis and characterization, tumor microenvironment modeling, LNP synthesis, functionalization
-
Experience with 3D cell culture, organoid systems, or co‑culture models Solid grounding in molecular and cellular biology techniques Ability to work both independently and collaboratively within a large
-
-saving research on vaccines and infectious diseases. The Tran Lab is seeking a motivated Postdoctoral Fellow. Primary Duties Develop human endothelial cell models for studying IgG recycling, catabolism
-
to develop 2D and 3D subsurface models. The Arizona Geological Survey (AZGS) provides trusted geologic information that enhances public understanding of Arizona's geology, natural hazards, landscapes, and
-
activity will be the follow: 1. Development of linear and nonlinear dynamic models of origami-based unit cells incorporating multiple resonators, 2. Implementation of computational models and numerical
-
the physical mechanisms of infection. We are based at KTH and SciLifeLab in Stockholm (https://hannebellelab.org/ ). We are seeking a PhD student to study the biophysics of schistosome skin infection
-
07.08.2026, Academic staff The professorship of Digital Structures with Mineral Materials is looking for an enthusiastic doctoral (PhD) candidate for a project on reinforcement of 3D printed
-
selection criteria include: -Research experience in liquid-core capsules; -Research experience in stem cell manipulation and culture -Research experience in 3D bioprinting 5. Eligibility: Applicants
-
of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop