395 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
regulation by integrating crosslinking mass spectrometry, cryo-electron microscopy, and structural modeling. The project seeks to map how protein complexes exist in their native cellular environments a central
-
bioinformatics and genomics is not required; we're targeting talented software engineers who want to expand into the fields of bioinformatics and genomics (visit https://learngenomics.dev/ to learn more about
-
that accelerate innovation in healthcare and biotechnology through validation, engineering, and valorization pathways such as licensing, partnerships, and spin‑outs. About the role We are seeking a Computational
-
an appointment is made: Amander Clark, PhD and Beth Y. Karlan, MD; Search Committee Co-Chairs c/o Libby Shin, Executive Director, Office of the Chair of Medicine Email: domwhsearch@mednet.ucla.edu To apply: https
-
, and industry. The ideal candidates research program will build upon or complement the expertise of the current GPI faculty (https://www.augusta.edu/institutes/gpi/gpi-faculty/index.php ) and research
-
ample opportunities for direct validation in biologically relevant settings. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063
-
and the Health Innovations Via Engineering (HIVE) Center will be considered, depending on the background and research aims of the candidate. Candidates must have recognized skills in the education of
-
at the University of Utah. Clear lines of sight to high‑impact publications and therapeutic development. Structured mentoring to help you define your scientific niche, build an independent research vision, and
-
. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
-
, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu