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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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Job Description Apply now Job Title: Postdoctoral Associate - Computational Regenerative Medicine Division: Integrative Physiology Work Arrangement: Onsite only Location: Houston, TX Salary Range
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Post-Doctoral Associate to work on a fascinating project focused on the geomechanical modeling for energy
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applications for a 12-month position as either a Research Assistant (Level 2) or Postdoctoral Researcher (Level 1) (depending on qualifications and experience), with a speciality in statistical image processing
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular and Cell Biology Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA Status: Exempt Work
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work closely with ABIF imaging scientists to advance facility capabilities, support users through training and consultation, and lead innovative technical development projects. More information about the
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Post-Doctoral Position - Oncology & molecular biology & radiology imaging - (2300000J) Exciting positions for postdoctoral fellows or research specialists in chemistry or in molecular biology
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dogs with metastatic osteosarcoma 1. Assist with PET-CT and SPECT-CT imaging, image segmentation, and data analysis before and after treatment with RPT. Research fellow will be expected
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combines advanced 3D stem cell modeling, neuroimmune interaction studies, high-content imaging, molecular and biochemical analyses and the evaluation of immunomodulatory therapeutic strategies in MSA. Key
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
centriole duplication, bipolar spindle formation, chromosome segregation, cell division, and proliferation. Dysregulation of Plk4/Plk1-dependent processes, by mutations in their associated cellular components