Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
fellow to join the 3D Stem Cell Biology Research Lab (https://www.hashinolab.com ) and study normal and pathological development of the human inner ear using stem cell-derived organoids as a model system
-
: Generative AI for visual exploration of biomedical data Interfaces for collaboration with AI Co-Scientists Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data
-
, or 3D cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork
-
and moving images; professional setups and standard practices; post-production techniques, tools, and processes; instruction in basics of shooting, editing, output, and display; and, instruction in use
-
School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee This position is part of the research project
-
: https://www.igf.edu.pl KEY WORDS: Seismic data inversion, offshore seismic data, seismic imaging, velocity model-building DESCRIPTION (topics, expectations, comments): Job Description The candidate will
-
– for manipulating images Familiarity with computer vision libraries, like OpenCV or Dlib, for developing and implementing vision-based models Familiar with 3D refractive imaging technique with demonstratable track
-
of various components of viral proteins and cellular cryoET structures of virally infected cells. Build atomic models and Alphafold models to the resulting 3D structures of these complexes and tomograms
-
-invasive cardiac imaging modalities, including, transthoracic, transesophageal, 3D-echo, strain, fetal and cross-sectional imaging. Performance and interpretation of imaging and physiologic data in order to
-
project investigating the role of endomembranes in cancer and therapy resistance. The project combines advanced cell biology, molecular biology and imaging approaches using clinically relevant cancer models