Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Cincinnati
- University of Texas at Austin
- Politécnico de Leiria
- Singapore Institute of Technology
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Chippewa Valley Technical College
- Colorado State University
- Lancaster University
- Lancaster University;
- Macquarie University
- QUEENS UNIVERSITY BELFAST
- University of Birmingham
- 3 more »
- « less
-
Field
-
, advanced optimization and control of semiconductor manufacturing processes and systems. Experience in working with advanced AI/ML software packages and super-computing cluster systems, including Hadoop
-
presentation of proposals for improvement: creation of additional analyses powered by the company's management software, such as deviation analysis and tools for analysing the performance of restaurant menus
-
Assurance and verification offerings for AI are fragmented and target specific areas of AI lifecycle (e.g. model assurance or prompt injections) without offering a unified view of the security
-
into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment
-
parameters with software and equipment development; - Collaboration on the project's technical and scientific documentation. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the Centre
-
of specialized field, process or discipline. May require experience with specialized software programs. Additional Qualifications Considered Due to grant stipulations, you must be a US Citizen, Permanent Resident
-
knowledge of specialized field, process or discipline. May require experience with specialized software programs. Application Process Applications must be submitted online at https://jobs.uc.edu. To apply
-
data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing, validation and verification. Carry out risk assessment, and ensure compliance with work
-
. • No mention of professional/academic practice – 0 values. c) Specific knowledge (SK): 1) Knowledge and experience in CAE rheological simulation software applied to the plastic injection molding process; 2
-
. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing