Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
. 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
-
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
-
specifically you will be involved in assessing the dietary intake of iron and zinc in human volunteers eating either a habitual Danish diet or an optimized meat- or plant-based diet. Furthermore, you will be
-
optimize system performance Disseminate results through publications, presentations, and reports Furthermore, you must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
-
-on experience in advanced enzyme technology. It is also expected that you have a strong interest in the novel type of applied enzyme technology in focus in the PhD project, which entails reaction optimizations
-
at end-of-life. In this role, you will explore and optimize promising glass compositions suitable for use as power-electronics substrates, connecting composition and structure to relevant functional
-
. Responsibilities and qualification Molecular thermodynamics plays a crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made
-
implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
-
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
-
design of experiments PhD enrolment: Technische Universität Berlin DC13: Multi-Criteria Decision Making (MCDM) and Multi-Objective Optimization (MOO) to guide production of SCPs PhD enrolment: Tallinn