Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
science and philosophy. The REMAX project on Rigorous Evaluation Methods for AI Explainability, funded by a Villum Synergy grant, aims to create methods for explainable AI and their rigorous evaluation
-
position is 2 years. The hired candidate will be mentored by Jamie Gabe . About the position In connection with the Carlsberg Foundation - Semper Ardens: Accelerate grant “Classifying finite and
-
understanding of reinforcement learning foundations, with the ability to perform convergence and finite-sample analysis of complex, non-linear continuous control algorithms. Implementation Expertise
-
uncertainty-aware parsimonious world models (e.g., via evidential learning) and prove finite-sample or regret guarantees under non-stationary latent state spaces, validating these algorithms by
-
the position In connection with the Carlsberg Foundation - Semper Ardens: Accelerate grant “Classifying finite and infinite C*-dynamics” held by Jamie Gabe, we are opening a 2-year postdoc position
-
optimisation for well-controlled materials and processes, you will investigate whether similar methods can be applied to mechanical recycling from heterogeneous waste streams. The ambition is to show how
-
. This is a fixed-term position to end 24 months after the start date. Job description The postdoc position focuses on physics-driven machine learning methods for ground-based, airborne and drone-based
-
Manufacturing Systems Lean Manufacturing / Logistics and Industry 4.0 / 5.0 Discrete Event Simulation Methods, Agent Based Simulation & Technologies Machine Learning, AI, LLMs & Data Science for
-
thereafter with possibility for extension of the employment. Job description You will be working using several methods to study RNA, protein-interactions and epigenetics, often including high through-put
-
binned spectra, such as audio spectrogram encodings or learned embeddings, and developing explainable AI methods that translate model outputs into interpretable visualisations for clinicians and chemists