Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of Geodesy and Earth Observation (GEO). In this position, you will develop algorithms and methods aimed at improving GNSS position integrity and mitigate/reduce both natural and intentional signal interference
-
++) Knowledge of the fundamentals of ML/AI algorithms for communications and networking, and their implementation A creative mindset and curiosity to research and develop new solutions with highly skilled
-
are to: Build a value chain decision-making tool based on mixed-integer linear programming Develop sensitivity and uncertainty assessment algorithms to assess various scenarios in a biofuel value chain Support
-
to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
-
with mathematical modeling and algorithmic insights Counterbalancing issues such as bias, overfitting, and inexplicable errors in excessive pre-training: by making systems explicitly aware of the reasons
-
. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
-
description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
-
will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
-
description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
-
pruning), carbon-aware computing, minimizing algorithmic complexity, maintenance requirements, mapping energy efficiency and related aspects using KPI (key performance indicators) with respect to ESG