309 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" "University of St" Postdoctoral positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
-
degree in Physics, Chemistry, Chemical Engineering or Materials Science and a profound experience/insight in catalysis. Here it is absolute mandatory that the candidate has extensive experience with
-
chemists, materials scientists, and environmental engineers, as well as industrial and governmental stakeholders. The position includes access to state-of-the-art imaging infrastructure, including high-end
-
the National Academy of Medicine. St. Jude is ranked on Fortune Magazine's "Best Workplaces in Health Care & Biopharma" and Glassdoor's "Best Places to Work," and is located in the heart of Memphis
-
the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a
-
, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
-
collaborative multidisciplinary environment that includes a Nobel laureate and members of the National Academy of Science and the National Academy of Medicine. St. Jude is ranked on Fortune Magazine's "Best
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
-
to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training
-
State University/NREL and Karlsruhe Institute of Technology/IMK-IFU. Digital technologies, including biogeochemical modelling and remote sensing, as well as interactions with stakeholders are key