Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- UNIVERSITY OF HELSINKI
- AALTO UNIVERSITY
- University of Turku
- Tampere University
- University of Oulu
- University of Jyväskylä
- LUT University
- Itä-Suomen yliopisto
- VTT
- Nature Careers
- University of Vaasa
- Academic Europe
- Finnish Food Authority
- Natural Resources Institute Finland (Luke)
- University of Helsinki
- Faculty of Arts - University of Helsinki
- Finnish Meteorological Institute
- NATIONAL LAND SURVEY OF FINLAND
- University of Lapland
- Åbo Akademi University
- 10 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Medical Sciences
- Economics
- Humanities
- Science
- Environment
- Linguistics
- Mathematics
- Chemistry
- Education
- Business
- Materials Science
- Social Sciences
- Arts and Literature
- Earth Sciences
- Electrical Engineering
- Law
- Physics
- Philosophy
- Psychology
- Sports and Recreation
- 13 more »
- « less
-
project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
-
they encounter with a label of one of the languages in their repertoire. If they encounter text written in a language they have not seen before, they label it with what their algorithm deems the closest match. The
-
Research Institutes in Finland. The programme is funded from the Finnish government’s multi-annual research and development (R&D) funding plan. The programme recruits 85 new postdoctoral researchers to 12
-
developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party
-
embodied and justice-oriented approaches to datafication literacy, to support human agency and mitigate algorithmic harms. The focus will be on empirical research that uses different design and game-making
-
such as earth with different sizes of rocks. 2) Development of advanced control algorithms integrated with force and loss models to prevent overloads and hazardous situations, ensuring operational
-
Video Sensorization for Secure Healthcare Monitoring (SViSenS) project, which develops privacy-preserving, AI-driven video-based monitoring technologies for healthcare. Your responsibilities include: You
-
: neuromorphic algorithms, machine learning, classifier development, AI programming Key tasks include experimental and/or computational research, collaboration within the project team, publishing results in high
-
that are of practical interest. The postdoctoral researcher will contribute to the theoretical foundations of inverse problems involving wave phenomena, develop cutting-edge computational algorithms, and apply
-
made of microbial materials. Get to know us further by exploring VTT's tech & infra . We are looking for a Research Scientist to join our Structural materials team! The Structural materials team develops