93 algorithm-development-"Multiple"-"Simons-Foundation" Fellowship positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work
-
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
-
., somatic) somatic mutations in the human brain. The lab is interested in studying somatic variation as it pertains to typical brain development as well as in neurological diseases like epilepsy. To that end
-
safety, health, and cultural and social acceptance. We will enable the development of a more holistic, efficient and safe approach to new food and drugs and related technologies, as exemplified by advances
-
2-year Postdoctoral Research Fellow position with focus on Cryptography at Computer Science Aarhu...
informed of the latest developments in the field. Required Qualifications Ph.D. in computer science. Interest in developing and evaluating cryptographic protocols and their applications. Knowledge of state
-
. Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation, progression, and
-
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
-
possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
-
experimental approaches to uncover cell-intrinsic and environmental mutational sources and to study their impacts in cancer development and evolution. We leverage mutational signatures—distinct genome-wide