Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
with numerical experiments Communicate results through publications and presentations You should have a background in one or more of the following areas: Systems and Control Optimization / Operations
-
complex acoustic environments, moving beyond traditional audibility-based solutions toward systems that enhance intelligibility, meaning extraction, and user-specific listening intent. Your work tasks The
-
projects; this can entail working alongside domain experts to extract relevant knowledge, and programming using suitable models to infuse that knowledge with ML methods, thus aiming to optimize performance
-
understanding in complex acoustic environments, moving beyond traditional audibility-based solutions toward systems that enhance intelligibility, meaning extraction, and user-specific listening intent. Your work
-
research events. You will develop both theoretical and applied work as you will be in close contact to real applications. You will participate in international secondments to other organisations in
-
full ownership of their own research project. Responsibilities Design and execute LC-MS/MS-based proteomics experiments (primarily in negative ion mode) Independently operate and optimize chromatographic
-
research events. You will develop both theoretical and applied work as you will be in close contact to real applications. You will participate in international secondments to other organisations in
-
Engineering. Food approved microorganisms will be optimized using classical mutagenesis/screening and adaptive evolution. Genetic engineering will be used for guidance and to elucidate the effect of introduced
-
/ 40.000 DKK. Funding for technical and personal skills training and participation in international research events. You will develop both theoretical and applied work as you will be in close contact to real
-
. Computational modeling and data-driven analysis will be used to guide material selection, molecular design, and performance optimization. Experimental input will be limited and used selectively for validation