Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- University of Oslo
- ;
- CRANFIELD UNIVERSITY
- Cranfield University
- INESC TEC
- National University of Singapore
- OCAD University
- University of Birmingham
- Western Norway University of Applied Sciences
- 2 more »
- « less
-
Field
-
. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience
-
courses of Higher Education Institutions. Preference factors: - Experience in software development based on JavaScript (ReactJS, NodeJS) and Java; - Experience with using, integrating, and developing APIs
-
language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system, terminal and bash is a plus. Experience using a compute cluster. Excellent
-
languages (python, JAVA script, C++) & deep learning Technical expertise (e.g., adapting/tweaking/debugging code) Ability to create online experiments, using online platforms such as Qualtrics Contribute
-
. Knowledge of cybercrime concepts and LLM prompt techniques. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with vulnerability analysis, network analysis, and cybercrime
-
research within a team, and proven ability to build collaborations. Proficient in programming with Python, Java and SQL and testing using open-source tools. Understanding of database and data analysis
-
with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
-
using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated
-
technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as
-
to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication