Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- University of Michigan
- Zintellect
- Indiana University
- Nature Careers
- Johns Hopkins University
- University of Maryland, Baltimore
- University of Texas at Austin
- City of Hope
- Center for Drug Evaluation and Research (CDER)
- University of Michigan - Ann Arbor
- University of California
- Auburn University
- Brandeis University
- Center for Devices and Radiological Health (CDRH)
- Florida Atlantic University
- The University of Alabama
- University of Idaho
- Villanova University
- AbbVie
- Amgen
- Barnard College
- Carnegie Mellon University
- Dana-Farber Cancer Institute
- George Mason University
- Lawrence Berkeley National Laboratory
- Marquette University
- Northeastern University
- Saint Louis University
- Texas Christian University
- The University of Memphis
- University of California, San Francisco
- University of Colorado
- University of Rhode Island
- University of South Carolina
- Wayne State University
- 26 more »
- « less
-
Field
-
) equipped with a cryogenic stage for surface analysis - Develop computer code (e.g. Python) for the development and analysis of optical cavities Qualifications § PhD degree in Materials, Electrical
-
analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae (including completed degrees, list of publications, research
-
coding languages, such as R and Python Willingness to learn new methods and pipeline development by interacting with others Willingness to help train others Ability to read literature and learn vision
-
international conferences. Required Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance
-
manuscripts for publication in peer-reviewed journals. Special knowledge, skills & abilities: Proficiency in programming language such as Python, C++, R and MATLAB. Strong theoretical understanding and
-
with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including
-
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
-
Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance computing environments. Experience with
-
(for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including reproducible analysis workflows Familiarity with
-
Contribute to research proposals and peer-reviewed publications Primary Platforms May Include ArcGIS Pro CityEngine Python-based geospatial processing ecosystems Cesium and 3D Tiles streaming architectures