Sort by
Refine Your Search
-
the analysis of gene expression and neuronal activity across different models, with the ultimate goal of contributing to the development of treatments that could modify the neurodegenerative progression
-
will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
-
: Synthesis and optimization of PLGA-based nanoparticles and enzymatic nanomotors. Drug loading/release studies in cellular models. Development of patient-derived mucus-secreting tumor-on-a-chip model
-
innovative research deployment. MATCH comprises some of the most renowned European universities, spanning across 6 different European countries. All these universities have high educational and research
-
health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
-
for Bioengineering of Catalonia (IBEC) is looking for a Pre-doctoral Researcher to conduct her/his predoctoral training on kidney organoid applications to model congenital anomalies of the kidney and urinary tract
-
modeling Knowledge of image analysis using ImageJ or similar software Scientific writing skills For the conditions, requirements, details of the research project and other relevant data, please check the
-
for sleep apnea detection, monitoring and treatment: a multimodal approach for individuals with different health conditions” (mHealthSleep4U)” This fellowship is associated with the research project
-
Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
physiological conditions. • Examine their performance in 2D and 3D systems, including chemical and genetic disease models, multi-cultures and organ-on-a-chip devices. • Investigate the biodistribution as
-
(primary and hPSCs derived). • Protein Purification. • Tau seed characterization and optimization. • Development and implementation of an in vitro reconstituted model. • Analysis of the effect of tau seed