Featured Job
-
Job Removed or Not Found
Related Jobs
- Carnegie Mellon University (Pittsburgh, PA)
- …+ Engage deeply as an ML expert in domain-specific projects with academic and private-sector researchers to develop and test prototype solutions applying high performance
- Carnegie Mellon University (Pittsburgh, PA)
- …are determined by active project needs. Some examples are as follows:** + Collaborate with academic and industry partners to develop AI and data-driven solutions using
- SLAC National Accelerator Laboratory (Menlo Park, CA)
- …include:** + Developing, testing, and deploying novel machine learning based solutions to challenging problems in accelerators. Specific area of focus will depend on the
- Schrdinger (NY)
- We're seeking a **Machine Learning Research Engineer** to join us in our mission to improve human health and quality of life through the development, distribution, and
- Merck & Co. (Rahway, NJ)
- …Real World Data Analysis:Analyze and interpret large volumes of structured and unstructured real-world patient level healthcare data, including but not limited to
- Lundbeck (Deerfield, IL)
- …in identifying opportunities to utilize AI for innovation and growth across Lundbeck US. **ESSENTIAL FUNCTIONS:** + Design, train, test, and implement AI/ML models and
- Argonne National Laboratory (Lemont, IL)
- …+ Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field. + Strong proficiency in Python, with
- Carnegie Mellon University (Pittsburgh, PA)
- …+ Expert on steels and steel welding or additive manufacturing + Develop advanced machine learning framework to combine different modality and fields of data + Conduct
- Merck & Co. (Rahway, NJ)
- …SUMMARY Primary activities include but are not limited to: The Associate Principal Scientist is a DVM and/or PhD whose primary function is to design, coordinate, monitor,
- Merck & Co. (Rahway, NJ)
- …include but are not limited to: Innovation Develop innovative and disruptive technologies for next-generation biologic manufacturing processesApply rigorous scientific