Sort by
Refine Your Search
-
learning applications in healthcare Strong problem-solving skills and ability to work independently and collaboratively Excellent communication skills and fluency in spoken and written English Demonstrated
-
, including conference travel and grant-writing experience, within a highly collaborative environment that bridges basic neuroscience and clinical research. In addition to leading the primary neuroimaging trial
-
of urothelial exfoliation in cancer therapeutics. The labs are committed to fostering a highly collaborative and scientifically rigorous environment. This position offers an excellent opportunity to learn about
-
for liver cancer patients. Aligned with this goal, this position offers exciting opportunities to work with external collaborators to evaluate promising diagnostic probes and therapeutic agents, using cell
-
patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
-
. We are seeking highly motivated individuals who are passionate about science, learning and having fun. Candidates with a strong background in molecular and cellular biology, and/or experience in
-
, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
-
involve both method development and applied research, with opportunities to publish in leading journals, present at top conferences, and contribute to open-source tools. Collaboration with clinicians, data
-
future therapeutic strategies. The Opportunity This role is designed for a postdoc seeking increased scientific independence, leadership responsibility, and strong mentorship within a collaborative
-
and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been