-
Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 1 month ago
reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
-
Urdu. Candidates should also indicate their experience in language instruction. We are seeking candidates who can demonstrate their experience in teaching or working with diverse student populations
-
Urdu. Candidates should also indicate their experience in language instruction. We are seeking candidates who can demonstrate their experience in teaching or working with diverse student populations
-
Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 1 month ago
accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
-
, and start-up costs are accounted for. When needed, assists with reviewing clinical trial agreements to identify language relating to clinical trial office deliverables (i.e. data entry timelines) As a
-
Job Title: Temporary Research Aide Job Family: Temporary Academic Support Level: No Grade - Hourly Pay Rate Type: Hourly Pay Range: Refer to Posting Language Remote Option Availability: Fully Remote
-
journals. Experience in managing research projects, including budgeting and team coordination. Demonstrated fluency in the statistical programming language R. Familiarity with Areal Apportionment package in
-
or numerical computation Familiar with Matlab, C++, Python, Java, or other programming language, or proficient in one of the software packages: PFC, VISSIM, ABQUS, COMSOL, MOOSE, LS-DYNA, optimization
-
bioinformatics pipelines for next generation sequence processing. Programming skills in R, Python, or another language and ability to work in Unix-based systems. Expertise in statistical genetics methods in plant
-
of existing ones for scientific and security applications; (ii) ML models for natural language processing (NLP), including Large Language Models (LLMs) and multi-modal, multi-task Foundation Models; and (iii