Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
organize data as a member of a multidisciplinary biomedical engineering team. This role will involve the generation and maintenance of cells for immune-competent microfluidic organs-on-chip and will involve
-
developing an innovative microfluidic platform for human iPS cell-based neurodegenerative disease modeling. The project focuses on differentiating iPS cells to neurons, glia and other cell types involved in
-
generated FUS-eGFP reporter iPSCs for live-cell imaging of RNP granules, facilitating compound screening to identify novel drugs for repurposing as ALS therapeutics. We also generated a microfluidic device
-
expression using microfluidic analysis. Applications – Applicants should send the following documents in PDF for luiz.stasi@unesp.br (deadline December 12, 2025): 1. A cover letter (maximum two pages A4
-
algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics, controlled force sensing and actuation and related tools for probing and controlling biomolecular systems
-
, the project aims to study the molecular effects of nanoparticles in in vitro models, using microfluidics, proteomics, and transcriptomics. For molecular analyses, techniques commonly used in endothelial
-
characteristics. In vitro microfluidic models will use disease-specific flow conditions and blood samples from DVT patients. Your work will ultimately contribute to a risk prediction tool for recurrent DVT and PTS
-
in hemodialysis patients. Your work will involve: Developing in silico models using computational fluid dynamics combined with macroscopic thrombus formation modelling. Creating in vitro microfluidic
-
staff position within a Research Infrastructure? No Offer Description TOPIC: Development of vascularized microfluidic in vitro skin models. PROFILE: biomedical physics, material science, biomedical
-
quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and