Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
-
of Marketing. The work time allocation between different tasks is negotiable and varies between 50-70% teaching, 20-30% research, and 10-20% service activities. Your network and team The Department of Marketing
-
computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and interactive prototypes for scenario
-
the department’s life-wide learning (LWL) curriculum, including a massive open online course (MOOC) on the Principles of Marketing. The work time allocation between different tasks is negotiable and varies between
-
chemical reactions and assembling functional nanomaterials from bottom-up in scanning tunnelling microscopy (STM). The project is tightly linked to machine learning algorithms in images (image classifier
-
planning and teaching cleanroom laboratory courses for students at different levels of their education. Aalto Nanofab is constantly improving the capabilities in Micronova cleanroom and thus the position
-
and conferences (e.g. AOM, EGOS, AIB), and engages with different relevant stakeholders to contribute to the community and society at large. The department has a lively, international research community
-
unified computational framework capable of capturing complex interactions in organic matter for use across different research fields. Positions 2-3: These positions include a fair amount of method
-
models. Having enthusiasm in control and a good balance between theory and practice is essential. Good programming skills also support the development of digital twins, soft sensors, ML-supported control
-
aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits