16 postdoc-image-processing Postdoctoral positions at University of Nebraska Medical Center
-
xenografts. Required Qualifications A postdoc applicant should have a PhD and prior experience in lung cancer and metastatic models and techniques, such as molecular biology, cell culture, biomarker analysis
-
/2025 Position Qualification Position Summary A postdoctoral position is available to study alcohol-induced alterations insynaptic structure and function, auditory processing, and behavior in prenatal
-
patient-derived xenograft (PDX) models to discover novel therapeutic targets and biomarkers. The postdoc will have access to state-of-the-art facilities, multidisciplinary collaborations, and opportunities
-
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
-
, CRISPR-based functional genomic screening, and patient-derived xenograft (PDX) models to discover novel therapeutic targets and biomarkers. The postdoc will have access to state-of-the-art facilities
-
of the opioid oxycodone on maternal physiology, placental function and fetal brain development in pregnant rats. Work with an experienced research technologist and graduate student to harvest and process tissue
-
Supplemental Qualifications Previous experience with tissue culture, basic molecular and biochemistry assays, handling mouse lines, histology staining and imaging, and intracranial injections. Incumbent will
-
culture, basic molecular and biochemistry assays, handling mouse lines, histology staining and imaging, and intracranial injections. Incumbent will apply their technical skills to translational projects
-
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
-
fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing