Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
science environment. ● Proficiency in coding and advanced data analysis using languages such as R or Python. ● Experience working with databases using SQL, cleaning and transforming data. ● Deep
-
analysis, to work collaboratively with research teams within Pfizer, and to publish in high-impact journals. By the end of the program, the Postdoc will be proficient in NGS technologies and nucleic acid
-
beyond what is stated in the Required Qualifications section. Skills: Alzheimer's Disease, Artificial Intelligence (AI), C (Programming Language), C++ Programming Language, Collaboration, Computer
-
leadership and mentorship experience Strong written and oral communication skills About the Department The Department of Microbiology and Immunology is a community of scholars committed to discovering and
-
Disease Lab, USDA-ARS, St. Paul, MN, focusing on molecular identification and functional characterization of genes for resistance to cereal diseases (Leaf rust and Fusarium head blight) in wheat
-
desired. • An excellent track record, as evidenced by first-author publications and conference presentations. • Knowledge of programming languages, such as MATLAB or Python, and statistical software
-
) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health informatics is a team of investigators, postdoctoral researchers, programmers, and students who work
-
mechatronics ● Proficiency in computing languages such as C++, Python & C#. ● Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities. Preferred
-
statistical modeling and basic statistical concepts - Excellent English writing and oral communication - Strong organizational skills - Ability to work in a collaborative environment - Ability to travel/drive
-
programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data