Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Northeastern University
- University of Michigan
- Genentech
- AbbVie
- University of Michigan - Ann Arbor
- Boston College
- Carnegie Mellon University
- George Mason University
- Simons Foundation/Flatiron Institute
- University of California
- University of Cincinnati
- University of Texas at Austin
- Vanderbilt University
- 4 more »
- « less
-
Field
-
health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
-
projects as well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand the brain function. Postdoctoral Fellowships
-
computer chips. Your role will be to design processes for transforming resources into sustainable materials by modeling reaction pathways from first principles. The project will collaborate with a broad
-
at Northeastern. (10%) Required Qualifications: - Ph.D. in Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS
-
foundation models and agentic systems and demonstrated capability to produce workable solutions from theoretical formulations Substantial publication history in top computer vision/machine learning venues
-
programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch Familiarity with image processing libraries and a solid grasp of deep learning
-
. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
-
apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
-
balance of supervised investigation and work experience in a learning environment that will expose the participant to activities across the drug development process. We are seeking scientists from U.S
-
behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract