Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Denmark
- Belgium
- Netherlands
- Singapore
- Portugal
- Spain
- Hong Kong
- Australia
- United Arab Emirates
- China
- Switzerland
- Luxembourg
- Poland
- Canada
- Italy
- Czech
- Estonia
- Austria
- Cyprus
- Finland
- Ireland
- South Africa
- India
- Latvia
- Bulgaria
- Lithuania
- New Zealand
- Morocco
- Saudi Arabia
- Andorra
- Armenia
- Brazil
- Israel
- Japan
- Worldwide
- Europe
- Greece
- Iceland
- Malta
- Romania
- Slovenia
- Vietnam
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Arts and Literature
- Electrical Engineering
- Humanities
- Chemistry
- Business
- Linguistics
- Social Sciences
- Education
- Environment
- Earth Sciences
- Design
- Physics
- Psychology
- Sports and Recreation
- Philosophy
- Law
- 14 more »
- « less
-
next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
-
technology Dissemination of science and technology activities, where those related to the fields of Conception and Drawing of Mechanical Components and Systems, Product Development, and Computer-Aided Drawing
-
relevant industry experience, demonstrating scientific independence, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine
-
-based learning environments. Your competencies You must hold a PhD in a relevant field and demonstrate a proven scientific track record within media technology. We expect documented expertise in real-time
-
. Eligibility criteria We are looking for a highly motivated PhD candidate who meets the following profile: Candidates must hold a Master’s degree in electrical or computer engineering (or a closely related field
-
Department. Profile You hold a master’s degree in Electrical Engineering, Computer Engineering, Telecommunications, Computer Science, or a closely related discipline, or you will have obtained it by the time
-
experience – 40% Evaluation of academic performance and/or relevant professional experience in machine learning, AI, software engineering, or security-related domains. Research track record and scientific
-
: MSc degree completed. Additional optional skills and qualifications: Previous research experience, particularly in the fields of Internet of Things security and machine learning models applied
-
/Planning Internal Number: 7006956 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
-
clinical research with an emphasis on novel technology development. Why should I apply? Under the guidance of a mentor, you will learn and gain hands-on experience to complement your education and support