Sort by
Refine Your Search
-
-, outcome- and sensory-guided actions, and how these processes are disrupted in genetic neurodevelopmental disorder models, including autism, OCD, ADHD, and intellectual disability. Postdocs will work in a
-
, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities
-
. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
-
experimental teams to integrate transcriptomic and imaging data with computational models and actively contribute to experimental design. Contribute to publications in high-impact journals and present findings
-
Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
-
. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
-
, and deep generative models (e.g., VAEs, normalizing flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO
-
artificial intelligence-driven techniques for image processing Excellent proficiency of oral and written English in a scientific context Meriting criteria are: Experience with µCT or other tomography imaging
-
into the regulation and function of diverse cellular processes. To this end, we use Vaccinia virus as a model together with quantitative imaging and biochemical approaches to study a variety of cellular processes
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural