Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
– Full Time DEPARTMENT/DIVISION: Division of Hepatic, Kidney, and Transplantation Pathology, Department of Pathology, University of Pittsburgh, of the University of Pittsburgh Medical Center
-
molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
-
molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
-
available at the Structural Virtual Testing and Digitalization section at the Division of Materials and Components of DTU Wind and Energy Systems. The section’s expertise lies in multi-scale progressive
-
Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Candidates Department EHH BSOM Microbiology and Immuun Department Homepage https://microbiology-immunology.ecu.edu/ Advertising Department MICROBIOLOGY & IMMUNOLOGY Division ECU Health/BSOM Classification
-
and Typhus. William Taliaferro and Lowell Coggeshall, both members of the National Academy of Sciences, served as Chairman of the Department and eventually Deans of the Division of Biological Sciences
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
division efficiency. Still, how chromosome segregation depends on these nuclear features remains unclear. Here we will test two hypotheses with clear consequences for chromosome segregation fidelity
-
Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Candidates Department EHH BSOM Microbiology and Immuun Department Homepage https://microbiology-immunology.ecu.edu/ Advertising Department MICROBIOLOGY & IMMUNOLOGY Division ECU Health/BSOM Classification
-
during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications
-
proteomics, imaging mass cytometry) to study the tumor microenvironment. This position offers a unique opportunity to join a world-class team dedicated to understanding and advancing the field of cancer