Sort by
Refine Your Search
-
Listed
-
Employer
- University of Texas at Austin
- AbbVie
- Johns Hopkins University
- Nature Careers
- Zintellect
- City of Hope
- Dana-Farber Cancer Institute
- Duke University
- Florida Atlantic University
- George Mason University
- Marquette University
- San Diego State University
- University of California Los Angeles
- University of Cincinnati
- University of Kansas Medical Center
- University of Maryland, Baltimore
- University of South Carolina
- University of Washington
- 8 more »
- « less
-
Field
-
at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI technologies and their
-
programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch Familiarity with image processing libraries and a solid grasp of deep learning
-
Open Source Geospatial software and libraries, e.g. GDAL or other open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial
-
provides a diverse, inclusive and supportive environment. Alumni from the lab have won prestigious awards and received multiple job offers from top research institutes and medical imaging companies in the US
-
, or a related field Work Experience: 0-3 Years Skills: Strong command of GNU/Linux systems and toolchains, expert level knowledge in R, strong experience in one scripting language like Perl or Python, and
-
marine or coastal related science, engineering or geosciences. Required Certification, Licensure/Other Credentials Preferred Qualifications High level knowledge of multiple computer languages, math, and