Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aarhus University
- University of Southern Denmark
- Aarhus University (AU)
- Aalborg University
- Technical University of Denmark (DTU)
- University of Southern Denmark (SDU)
- Technical University of Denmark
- Aalborg Universitet
- GEUS
- Imperial College London
- Aarhus University - Faculty of Technical Sciences
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen
- Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen
- The Natural History Museum Denmark / University of Copenhagen
- University of Copenhagen
- 5 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Environment
- Earth Sciences
- Chemistry
- Materials Science
- Medical Sciences
- Electrical Engineering
- Physics
- Statistics
- Humanities
- Education
- Mathematics
- Social Sciences
- Psychology
- Economics
- Business
- Design
- Philosophy
- Arts and Literature
- Law
- Linguistics
- 13 more »
- « less
-
computational proteomics, bioinformatics, machine learning, computer science, chemometrics, analytical chemistry, or a closely related field Strong experience in machine learning and/or deep learning
-
, and open scientific resources where relevant Required Qualifications Applicants must have: A PhD in computational proteomics, bioinformatics, machine learning, computer science, chemometrics
-
programming in Python, R, or similar languages Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to
-
, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages Background in machine learning or deep
-
Join us at the Department of Electrical and Computer Engineering at Aarhus University for a two-year postdoctoral position focused on physics-driven machine learning for ground-based, airborne, and
-
cognitive support and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and
-
efficiency. The goal is original research for leading machine-learning, computer-vision and robotics venues. The successful candidate will be expected to conduct original, high-quality research targeting
-
Bachelor’s degree in physics, computer science, computational biology, or similar fields. The applicant is expected to have demonstrated experience working with state-of-the-art deep learning approaches
-
learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics, Statistics, or Theoretical Physics at the time of
-
structured, well-documented way that supports benchmarking, reproducibility, and reuse by others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent