Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical
-
State University of New York University at Albany | Albany, New York | United States | about 7 hours ago
that jointly explain behavior and neural dynamics. Expertise in modeling neural data and developing methods to compare biological and artificial neural networks is highly valued. We invite applications from
-
radar image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is essential. Specific
-
methods with applications to data science and artificial intelligence. The position serves as a pivotal connection between the Faculty of Mathematics and the Research Network “Data Science @ Uni Vienna
-
AI/ML technologies, such as deep learning and neural networks, machine learning and statistical modelling, federated and distributed learning, explainable and trustworthy AI, data engineering
-
neuromorphic circuits. We will also simulate high-efficiency spiking neural networks (SNN) and build neuromorphic sensory systems to validate performance and explore broad biomedical and other potential
-
Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs), trained on a new dataset of biological images of Candida fungi, the solution aims to improve the speed, accessibility, and accuracy
-
Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/ About the role We are seeking a highly motivated data scientist to join the research team on artificial
-
compositions. Initially, supervised learning models such as random forests, gradient boosting, and neural networks will be used to predict composition outcomes based on both literature scrapping and in-house
-
. Tissue engineering and regenerative medicine: integration of biomechanical principles into the design of scaffolds, organoids, and artificial tissues. Mechanics of cardiovascular and neural tissues