Sort by
Refine Your Search
-
, retrapping, tunnelling, and recombination, based on their respective transition probabilities. Use machine learning approaches to optimize model performance and run simulations over multiple time scales
-
, fluid mechanics, solid mechanics, materials science including phase changes, numerical mathematics and data analytics based on statistics and/or machine learning. Each of the postdoc positions will be
-
of a world leading research environment and contribute to the development for the next generation scientific machine learning tools for power systems. One Postdoc will be the scientific lead of a small
-
molecular approaches such as sc-RNAseq Machine learning, Python and R Immunology and Cancer biology FACS sorting and analysis We offer DTU is a leading technical university globally recognized
-
-disciplinary research collaboration Machine Learning modeling and optimization Generative AI modeling (closed-loop AI tools, or related AI-tools) Design of molecular binders Interest in mentoring PhD students
-
science? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the research program – Closed
-
-disciplinary research collaboration Machine Learning modeling and optimization Generative AI modeling (closed-loop AI tools, or related AI-tools) Design of molecular binders Interest in mentoring PhD students
-
Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
-
science? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the research program – Closed