92 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" Fellowship positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
experiments, analyze and interpret the data; Prepare scientific presentations and publications Supervises the experiments and data analysis of technicians or students as needed Qualifications: Ph.Ds or M.D
-
care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing
-
lead the in vivo functional analysis of this gene using conditional KO mouse models, with a focus on brain development, neuronal differentiation, and seizure susceptibility. All models are already
-
career development of young investigators in the field of basic and translational hematology. Postdoc candidates will also have the opportunity to learn basic and clinical hematology, innate immunity
-
interested in the dynamics of beta-cell heterogeneity, islet organization and cell-cell interaction in fetal and neonatal development. The Dhawan lab utilizes genetic mouse models, molecular biology, imaging
-
foundation to: Build a high-impact research portfolio Deepen expertise at the intersection of AI and science Develop strong international academic and research networks Accelerate the transition to tenure
-
regulation and other aspects of cellular signal transduction. We use our structural and mechanistic insights to drive development of novel anti-cancer drugs. Systems of current interest in the lab include RAF
-
and cancer. Ultimately, we aim to mitigate the pathogenesis and develop treatments for chronic metabolic diseases. We have established unique, comprehensive mouse models for: 1) real-time labeling and
-
Laboratory of Marine Ecosystem Dynamics, MNR, and Key Laboratory of Engineering Oceanography. After more than ten years of development, the workstation has formed an excellent team of cooperative tutors with
-
lung and other malignancies, affording access to patient samples and large tumor databases. Specific research areas of interest include development of optimized strategies for efficient and specific