775 structural-engineering "https:" "https:" "https:" "https:" "https:" "ICube laboratory CNRS" positions at Northeastern University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Biology
- Business
- Social Sciences
- Arts and Literature
- Law
- Science
- Environment
- Humanities
- Mathematics
- Psychology
- Education
- Chemistry
- Linguistics
- Sports and Recreation
- Materials Science
- Electrical Engineering
- Philosophy
- Design
- Physics
- 13 more »
- « less
-
grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
-
and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
-
materials management, leading building-wide inspections and tracking corrective actions, conducting assessments (risk/hazard/job/space/equipment/PPE/SOP/etc.), contributing to lab design and construction
-
, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive
-
, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI. Minimum of 5 years of industry experience in designing, developing, and deploying AI/ML
-
general, organic, physical or analytical chemistry courses for life or physical science students or engineering and biotechnology students at the graduate or undergraduate level depending on departmental
-
specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional
-
About the Opportunity Job Summary Individuals are sought to teach graduate courses in science and technology relevant to the bioinformatics field. Courses include primarily biological science
-
Insurance, Analytics and Management is to prepare professionals working in the insurance industry, and other related industries, for success as insurance professionals at the intersection of technology
-
professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force