Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all
-
sample preparation. Instruct laboratory users in AMS data analysis, including error propagation. Collaborate with lab users, facilities staff, EH&S representatives and other facility lab managers as
-
-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements
-
into the future. Strong candidates will be expected to have > 5 years of experience in these areas. Significant Data Science/Advanced Computational Modeling/Machine Learning/Big Data Analytics Experience and
-
, or machine learning experts to create predictive virtual 3D mammalian embryos for human health, especially congenital heart diseases. We welcome applicants with expertise in genomics, developmental biology
-
understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. Responsibilities: Conduct research on the mechanisms underlying
-
. Research Themes and Projects: We are an interdisciplinary research team integrating single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine
-
fluency in both spoken and written English Familiarity with machine learning, information theory and signal processing. Experience with algorithm development Familiarity with basic molecular biology
-
strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning
-
focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of