Sort by
Refine Your Search
-
, or academic projects • Experience in writing research code in collaborative settings using languages such as R and Python • Ability to work effectively as part of a multi-disciplinary research team • Strong
-
level of independence Experience in the management of research, scientific, or academic projects Experience in writing research code in collaborative settings using languages such as R and Python Ability
-
with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
-
, climate economics, operations research, or statistics); • Proficiency in at least one scientific programming language (e.g. Julia, Python, etc) required; • Experience with numerical models (preferably
-
working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center
-
research and data analysis across a variety of ongoing projects. The CIDER faculty can be found at https://business.cornell.edu/centers/cider/ . Depending on project needs, language skills, and individual
-
collaborative input, and contributing support to creative database projects. Ability to manage large datasets and extrapolate from data for use in public policy analysis. Familiarity with Python, R, and GIS
-
for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
-
of the REST and XML protocols Professional experience in any modern object-oriented programming language (for example: C#, Java, PHP or Python.) Familiarity with Agile development methodologies **Sponsorship
-
languages like Python or C, and or developing and/or using computational methods for analyzing large datasets. Demonstrated experience in developing computational algorithms for solving problems, preferably