383 coding-"https:"-"Prof"-"CMU-Portugal-Program---FCT" "https:" "https:" "https:" "https:" "UNIV" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required Maximum Number of References Allowed Keywords
-
scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
-
Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https
-
determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required Maximum Number of References Allowed Keywords
-
; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May
-
an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
-
with electronic mail, MS® Office, and related desktop and handheld devices and applications required. Must observe and comply with all standard safety codes and practices, perform work in accordance with
-
® Office, and related desktop and handheld devices and applications required. Must observe and comply with all standard safety codes and practices, perform work in accordance with recognized trade and
-
SQL. RESTful APIs, HTTP, and JSON. Version control using Git (branch, pull requests, code reviews). Strong problem-solving skills and attention to detail. Clear written and verbal communication skills
-
Segel lab at Harvard’s Department of Stem Cell and Regenerative Biology (https://hscrb.harvard.edu/labs/segel-lab/ ) explores the biology of aging through the lens of developmental timing and lifespan