Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
understandable AI algorithms? DTU Compute's Section for Cognitive Systems invites applications for a postdoc position to investigate the properties of deep learning representations and improve their interactivity
-
advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models, and programming proficiency. Postdoc in Scientific Computing: Coupling 3D Experimental Movies with
-
Department of Chemistry, Aarhus University | Aarhus C, Region Midtjylland | Denmark | about 2 months ago
SurfLab at Aarhus University seeks to hire a postdoc to study the structure and dynamics of proteins at particle surfaces using ultrafast spectroscopy. Proteins at particle surfaces play
-
physical modeling as well as multivariate data analysis, deep learning, and other machine learning approaches. Candidates interested in designing manufacturing solutions for medicinal products may consider
-
these signals offer for modeling and prediction. Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks
-
, and machine learning to improve protein function. Interest in entrepreneurship to make a positive impact on planetary and human health. We offer DTU is a leading technical university globally recognized
-
formation and ionic transfer through the SEI. Candidates interested in machine learning methods could also pursue the development of equivariant graph neural network for electronic scale simulation of battery
-
Two fulltime post doc positions in Theory of machine learning are available. The post docs are under the supervision of Professor Kasper Green Larsen, Aarhus University, Denmark. The focus
-
recovery that support real-time high-speed implementations. use machine learning to improve discrete modulation formats. develop MATLAB or python code. experimentally demonstrate the developed algorithms and
-
machine learning models, probabilistic modeling or other bioinformatic tools Any of the following features are highly desirable, but not strictly required: Experience with applied analysis of proteomics