Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Science
- Economics
- Chemistry
- Materials Science
- Mathematics
- Earth Sciences
- Psychology
- Physics
- Electrical Engineering
- Humanities
- Law
- Social Sciences
- Environment
- Arts and Literature
- Business
- Education
- Philosophy
- Sports and Recreation
- 12 more »
- « less
-
found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity
-
exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim to investigate the role of mechanical sensing and memory in cardiovascular disease. The postholder of this British Heart
-
(typically between 7-11pm) Mentorship and Laboratory Responsibilities (10%) Undergraduate mentorship (data entry, coding projects, image processing) Collaborate with a diverse team of researchers, including
-
biology, while experience with advanced imaging techniques is advantageous. We are particularly interested in candidates with experience in lysosomal biology. The candidate is expected to conduct
-
to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
-
radiolysis as a tool to study fundamental molecular energy conversion processes such as charge separation, transfer/transport and recombination, as well as projects with applications in light-driven chemical
-
, the research will also involve the use of pulse radiolysis as a tool for the characterization of transient intermediates involved in energy-related catalytic processes in organic solvents, e.g., CO2
-
, NeurIPS, AAAI, or related) Desired: Experience with multimodal data integration, longitudinal outcome prediction, or medical/dental imaging Background in radiographic image processing or a strong interest
-
classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
-
for the project. Project Description AMBER Project Overview This project is part of the EU co-funded research initiative AMBER, Advanced Multiscale Biological Imaging using European Research Infrastructures, which