Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Doctoral Researchers (PhD students) to work on deep learning methodologies for machine and robot perception. These positions are funded by the Horizon Europe project OPERA (Open Perception, Learning, and
-
related field. Strong knowledge of machine learning. Strong publication record in a relevant field. Excellent analytical and problem-solving skills. Interest in collaborative research with both academia and
-
, candidates should have completed their doctorate no more than four years before the start of employment. For well-justified reasons (e.g., parental leave, military or civil service), this limit may be extended
-
on developing novel Machine Learning methods for financial markets. The positions will offer excellent opportunities to work in a team of professionals responsible for developing cutting-edge technologies in
-
growth and yield studies. Knowledge of different digital data collection tools, statistical approaches, machine learning and AI-based techniques, forest growth modelling and simulation systems, as
-
more than five years ago at the time of accepting the position. In this context, the 5-year limit refers to a net period of time, which does not include maternity leaves, parental leaves, military service
-
processing, machine learning, statistics or related fields. Demonstrated expertise in ML/AI, with prior experience of applications in the healthcare domain, particularly in cancer research considered a strong
-
engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 20:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded
-
intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
-
across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and