Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Singapore
- France
- United Kingdom
- Portugal
- Netherlands
- Germany
- Norway
- Spain
- Belgium
- Italy
- Poland
- Sweden
- Australia
- Denmark
- Canada
- Finland
- United Arab Emirates
- Austria
- Switzerland
- Luxembourg
- Ireland
- Morocco
- China
- Japan
- Romania
- Hong Kong
- India
- Mexico
- Brazil
- Cyprus
- Greece
- Saudi Arabia
- Slovenia
- Bulgaria
- Croatia
- Czech
- Estonia
- Iceland
- Lithuania
- Malta
- 31 more »
- « less
-
Program
-
Field
-
-learning algorithms and non-linear measures of brain dynamics to quantify more vs. less effortful brain states. This is an excellent position for someone who is interested in: (1) investigating how
-
excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful
-
role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED’s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr
-
such as CVPR, ICCV, NeurIPS, or ICML. The specialist will be responsible for designing and implementing state-of-the-art computer vision and generative modeling algorithms, and applying them to spatial
-
effectively exploited, possibly using some kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several
-
that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
-
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
-
mentor students in creative coding, sound studies, and media arts practice including sound art or electronic music. Additional teaching areas may include: generative and algorithmic approaches to design