11 image-coding-"UCL"-"UCL" Postdoctoral research jobs at University of Nebraska Medical Center
Sort by
Refine Your Search
-
Listed
-
Field
-
successful candidate must possess strong verbal and written communication skills and the ability to work independently and as part of a team. Working knowledge of Word, Excel, PowerPoint, and image and
-
exposure models of Fetal Alcohol Spectrum Disorders (FASD). We are currently using several approaches including multiphoton in vivo imaging, auditory measurements, behavioral methods and electrophysiology
-
experienced research technologist and graduate student to harvest and process tissue samples. Perform single cell RNA sequencing of placental and fetal brain samples. Perform histological and imaging analyses
-
samples. Perform single cell RNA sequencing of placental and fetal brain samples. Perform histological and imaging analyses of placental and fetal brain structure. Assess levels of hormones, growth factors
-
candidate will contribute to project planning and lead efforts related to codebook review, variable coding, statistical analyses, and manuscript writing. Strong writing skills are essential, along with
-
. Proven expertise in bioinformatics, coding languages, and statistical analysis tools. A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and
-
candidate will contribute to project planning and lead efforts related to codebook review, variable coding, statistical analyses, and manuscript writing. Strong writing skills are essential, along with
-
). Taking advantage of multiple state-of-the-art techniques (e.g., gene profiling, virus-mediated circuit tracing, calcium imaging/optrode recording, fiber photometry, EEG/EMG recordings, patch clamp slice
-
Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics
-
expertise in bioinformatics, coding languages, and statistical analysis tools. • A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and communities