49 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the
-
position, please contact Professor Jakob E. Bardram at jakba@dtu.dk . Read more on CARP at https://carp.dk/ and about DTU Health Tech at www.healthtech.dtu.dk . Applications received after the deadline
-
to be fluent in at least one of these, and in time expected to master both as you will deliver scientific advice and teach in Danish. You will be assessed against the responsibilities and qualifications
-
labelled images. Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please
-
, preferably using Nextflow. Collaborate with platform data scientists and researchers to develop reproducible analytical pipelines. Assist in applying machine learning and AI methods to multi-omics datasets
-
images. Close collaboration with the rest of our interdisciplinary team at DTU Construct and Vistacon, particularly the other postdoc position focusing on image analysis using deep learning. Please see
-
within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas. Preference will be given to candidates with competence in concrete
-
high-throughput reactor systems, combined with the implementation of a visionary data management strategy, will provide a unique environment for data-rich research supported by machine learning and AI
-
managing of Virtual Machines (VMs), and storage, Design secure and scalable CI/CD workflows, Support development and deployment pipelines, Ensure system reliability, maintainability, and compliance 2. Web
-
as the project manager of our new project DTU-UoN Partnership for Climate Innovation, Entrepreneurship and Education. The aim is to foster learning and knowledge exchange on climate solutions