Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
learning. The primary objective of this project is to analyze and design learning algorithms and provide formal guarantees regarding their performance. To achieve this, you will need to apply advanced
-
project. Once you have mastered the theory, you will build models, describing the natural phenomenon with mathematical precision. Beside deriving theory and collecting data of real-world epidemic spread
-
The main goal of the research is to quantify the impact of hydrate formation on injectivity of CO2 injection well and to develop chemical-based solutions to either inhibit the formation of hydrates
-
resulting from overload, (under/over)voltage, and angle variations. The principal constraining factor on network capacity is the thermal limit of the conductor and therefore, there has been widespread testing
-
explore, holding a Master's degree (MSc) in Statistics, Applied Mathematics, or a related field. You're passionate about using statistical, probabilistic, and mathematical principles to solve real-world
-
of structural sizes based on scattering measurements with different wavelengths. Your main focus will be the development of software and analysis tools, but you will closely work together with the experimental
-
yet differently phrased requests. All these points have the same underlying question that needs to be answered for the AI tools to become useful: How do we validate the generated code? The main focus
-
English will be possible. Communication will be in English. The project is for a duration of 4 years. The starting date has to be on or before 15 September 2024. Your profile: Completed Master's degree
-
grades/transcripts (bachelor and master) contact information of 2 references if already available: your master thesis Please note: You can apply online. We will not process applications sent by email and
-
, please visit www.phd.tudelft.nl. We are looking for applicants who have or expect to receive a Master before joining the project. Relevant topics include Social Signal Processing, Affective Computing