Sort by
Refine Your Search
-
insurance datasets) is highly desirable. (Required) Fluency in data management and statistical programming languages (SAS, SQL, R, STATA, or Python). (Required) Solid understanding of pharmacoepidemiologic
-
are seeking a highly motivated Data Manager and Lab Technician with a background in Computational and Systems Biology. Ideal candidates will have experience in statistical programming (R and Python), and a
-
sensing data of coastal ecosystems. The successful candidate should have strong quantitative skills, proficiency in standard programming languages (Python, Matlab), proficiency in deep learning and computer
-
theory & experiment: Co‑design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data
-
, JavaScript, Python, etc.) (Required) Education, Licenses, Certifications & Personal AffiliationsBachelor's Degree in computer science, computer information systems, information technology, or related field
-
collaborating within multidisciplinary research teams. Desired skills/qualifications: Experience with data processing using scripted languages such as Python. Provide training and mentorship to staff and users
-
of feedback mechanisms. Fluency with common programming tools and languages: Python, C/C++, Java, Javascript, and SQL. Ability to develop scripts to automate tasks. Experience with Amazon Web Services (AWS) and
-
to calculate the total compensation value with benefits. Qualifications 3 + years Three plus years applied Smart Manufacturing or industrial automation experience preferred including skills with Python, PLC
-
operating systems (RTOS) or bare-metal environments. Experience using Python-based programming tools for system automation and data analysis. Ability to independently plan and complete projects. Ability
-
, Computational Science, Applied Mathematics, or a related field. Programming experience in one or more of: Python, C++, Fortran, Julia. Ability to work effectively on interdisciplinary teams. Clear written and