Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Spain
- Netherlands
- Singapore
- Sweden
- Portugal
- Norway
- Poland
- Belgium
- Austria
- Australia
- Switzerland
- Finland
- Denmark
- Luxembourg
- Canada
- United Arab Emirates
- Italy
- China
- Ireland
- Hong Kong
- Romania
- Brazil
- Czech
- Morocco
- New Zealand
- Slovenia
- Cyprus
- Greece
- Japan
- South Africa
- Estonia
- Iceland
- India
- Bulgaria
- Croatia
- Saudi Arabia
- Slovakia
- Taiwan
- Worldwide
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Chemistry
- Business
- Materials Science
- Psychology
- Earth Sciences
- Environment
- Electrical Engineering
- Humanities
- Arts and Literature
- Linguistics
- Education
- Law
- Physics
- Social Sciences
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development. Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments
-
charging technologies Experience in modelling and simulation using Python Knowledge of optimisation methods, energy systems, or smart charging concepts is advantageous Experience with data analysis and
-
of experience: Programming experience of which includes SQL, C+ and/or Python with at least 2 years directly working with biomedical data or structured electronic health record (EHR) data including extracting
-
, the HybridNetLab, the QCILab, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected
-
, AWS, Azure, or comparable technologies. Proficiency with scripting and automation using tools such as Python, Bash, or similar scripting languages. Working knowledge of identity and access management
-
, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
-
can push the limits of conventional heat exchanger technology.In the second part of the PhD research, the candidate will contribute to the HEATCAP project (https://www.moonshotflanders.be/en/projects
-
independently, willingness to learn and acquire new skills Interest in working in a highly international research team A background in modern data science is required Very good programming skills (Python, C
-
, or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should demonstrate some of the following skills: - coding in Python - Life Cycle Thinking (LCA
-
datasets tailored to specific analyst needs. Our network situational awareness security tools are published here: https://tools.netsa.cert.org/ Position Summary: You'll be responsible for developing software