-
for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
-
processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity with collaborative software engineering practices (Git, testing, code reviews, CI/CD) ● Demonstrated
-
welcome to apply. • Candidates should have a developing track record of research output • Programming proficiency in python is essential • Commitment to open research, as appropriate to the discipline
-
, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
-
. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with shell scripting, cluster or cloud computing infrastructure