RSS Feed Source: Academic Keys

Research Opportunities

Computer Science; Informatics

Work description

The design and development of automated data pipelines for pre-processing, anonymisation and efficient storage of large volumes of clinical data. The creation of backends and APIs using frameworks to integrate AI models with hospital interfaces. The implementation of security mechanisms and compliance with the LGPD/GDPR and hospital standards. The technical integration of the predictive model with existing hospital systems, guaranteeing interoperability and performance.

Active collaboration with the scientific team in the technical and methodological documentation of the solutions developed and in the writing of scientific publications.

Academic Qualifications

Master’s degree in computer science.

Minimum profile required

Knowledge of Software Engineering. Knowledge of Data Science.

Preference factors

Solid academic background in Computer Engineering, Computer Science. Relevant experience in backend software development and API integration. Knowledge and experience in managing and processing large volumes

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

Postdoctoral Position at Arizona State University

Modeling and Simulations of Fluid-Metamaterial Interactions

Position details: A postdoctoral position is available in the School for Engineering of Matter, Transport and Energy at Arizona State University, Aerospace and Mechanical Engineering program. The project duration is for 2 years, with an initial appointment for 12 months and the possibility for further extensions based on performance. The start date is Summer 2025 or Fall 2025 (negotiable). The applications will be accepted on a rolling basis until the position is filled. See isim.asu.edu/#/positions for more information.

Project description: Efficient methods for control of turbulent flows are critical for many applications. Recent promising approaches include passive techniques such as textured surfaces and metamaterials. The goal of this project is to investigate the physical mechanisms via which fluid flows interact with metamaterials. The project involves modeling and simulation of coupled dynamics and

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

The Francis College of Engineering invites applications for an outstanding candidate for a Visiting Professor position in the Biomedical Engineering Department. The appointment is scheduled to begin in the Fall Semester 2025.

UMass Lowell is an R1 university ranked in the top tier of U.S. News’ National Universities and serves the multicultural population of the Commonwealth. It is also a Minority Serving Institution (MSI). The Francis College of Engineering includes 113 faculty members, just under 30% of whom are women, and enrolls over 2,400 undergraduate and 1,000 graduate students. The College offers bachelor’s, master’s, and doctoral degree programs in all departments, with optional co-op programs available for all bachelor’s and master’s degrees. The College has been nationally recognized for its commitment to equity and inclusion by the American Society for Engineering Education. UMass Lowell is dedicated to cultivating an inclusive and supportive learning environment.

The

Click this link to continue reading the article on the source website.

RSS Feed Source: Academic Keys

Research Engineer (AI for autonomous driving perception) (LX)

Job no: 498945
Department: Infocomm Technology
Contract type: Contract
Apply now

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of robust AI for autonomous driving perception. Detailed research tasks include physical-space adversarial example attacks, applying redundancy and diversity of deep neural networks to harden object detection and semantic segmentation, as well as maintaining the real-time performance of the hardened AI computing on embedded GPUs (NVIDIA Jetson AGX Orin). RGB camera and LiDAR will

Click this link to continue reading the article on the source website.