Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Acoustic Sensing and Machine Learning for Sustainable Battery
-
method development and DNA library preparation for Oxford Nanopore sequencing. Large experience in bioinformatics, machine learning and high-performance computing. Furthermore, excellent written and oral
-
Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance computing clusters Sahu Lab Dr
-
metagenomics and Oxford Nanopore Technologies sequencing. Large experience in bioinformatics, machine learning and high-performance computing in relation to microbial metagenomics and analysis of horizontal gene
-
processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure Excellent scientificinfrastructure Participation in international conferences Support for developing
-
-performance computing. Furthermore, excellent written and oral communication skills. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. Who we are At the Department
-
We are seeking an outstanding and highly motivated postdoc to join the Sahu Lab at the Department of Molecular Medicine, University of Southern Denmark (SDU). The position is available from February
-
regulation, or aging biology Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance
-
of the chemicals on droplet stability. You will be responsible for the following: Implementing AI imaging to analyze high-speed droplet movies. Relating the results to the HLD principle and performing its parameter
-
A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources and open-source datasets. Opportunities to co-supervise