Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Spain
- Poland
- Singapore
- Belgium
- Portugal
- Denmark
- United Arab Emirates
- Australia
- Netherlands
- China
- Canada
- Worldwide
- Hong Kong
- Ireland
- Malta
- Romania
- Austria
- Bulgaria
- India
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Croatia
- Cyprus
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 28 more »
- « less
-
Field
-
notes for the Blockchain Technologies course at UPF. These notes must cover the theoretical fundamentals of blockchain technologies, including cryptographic primitives and consensus algorithms, while
-
technologies, software development, algorithm design, and data applications. Discipline, including, but not limited to: Computer Science and Technology, Cyberspace Security, Data Science and Big Data Technology
-
advises when necessary. Stays up to date on the latest social media trends and state-of-the-art technology, such as new algorithms, features, and platforms. Interprets media/communication administrative
-
, bioinformatics, and algorithmic game theory. More information: https://www.mimuw.edu.pl/en/research/ Teaching profile of faculty The Faculty offers top-quality education in mathematics, computer science
-
algorithmic game theory. More information: https://www.mimuw.edu.pl/en/research/ Teaching profile of faculty The Faculty offers top-quality education in mathematics, computer science, bioinformatics and systems
-
, bioinformatics, and algorithmic game theory. More information: https://www.mimuw.edu.pl/en/research/ Teaching profile of faculty The Faculty offers top-quality education in mathematics, computer science
-
, the largest research groups focus on algorithms, logic and automata theory, bioinformatics, and algorithmic game theory. More information: https://www.mimuw.edu.pl/en/research/ Teaching profile of faculty
-
. Familiarity with Machine Learning concepts demonstrated through coursework or personal projects. Strong knowledge of data structures and algorithms. Understanding of clean coding principles. Familiarity with
-
processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with
-
actionable insights (e.g., visualizations, algorithms) in real-time. The MLE will join a dynamic, multi-site team working at the intersection of machine learning, digital phenotyping, pediatric mental health