Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
applications. Possess system analytical and algorithmic thinking Demonstrate a curious and collaborative mindset, strong research motivation, and eagerness to apply your skills to diverse computational
-
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
-
, and intelligent decision-making across distributed manufacturing networks. Specifically, the work will include: Development of a digital twin for a manufacturing production system. Development
-
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
-
: 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
-
skills in programming, signal analysis and algorithms. Excellent/good skills in spoken and written English. Advantages Ability to work independently, formulate and solve research problems, and communicate
-
, PyTorch, Keras, scikit-learn) and strong understanding of machine learning algorithms, deep learning architectures, and statistical methods Good skills in extraction of data from structured/unstructured
-
(land, aerial, marine, or hybrid) Distributed decision-making, task allocation, and worksite optimization under uncertainty Energy-aware and resource-efficient collaboration strategies for fleets
-
experimental materials synthesis, characterisation or both, and optionally, with experience developing algorithms for accelerated discovery based on data collection from automated instruments. Practical
-
methodology for analysing long-term spatially structured data sets within a joint species distribution modelling framework. For more information on REC, please see https://www2.helsinki.fi/en/researchgroups