-
environments such as R, Java, Python, C++; Ability to communicate statistical concepts and data analysis interpretations to the group; Experience in genetic analysis of environmental exposure risk factors
-
precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
-
experiment codebases (prefer Python). Apply causal inference and discovery frameworks to clinical questions. Translate proposed methods and frameworks into real-world clinical workflows. Contribute to grant
-
. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas
-
. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
-
optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent professionalism and work ethics, initiative and self-motivation. Strong ability
-
skills: · Experience with Python · Experience with high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work
-
optical setups and measurements. • Working knowledge and understanding of quantum optics and ultrafast optics. • Good with data analysis using Matlab, Python, etc. • Good in research and strong