Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
HPMC designs and manufacturing processes hinder renewable energy adoption and efficient electricity consumption. GreenMag plans to deliver next-generation HPMCs that are 50% smaller, 25% cheaper, and 40
-
industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
-
thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
-
for Surface enhanced Raman Scattering (SERS). You will spearhead and coordinate our development and optimization of new SERS substrates as well as sample preparation of clinical samples that we receive from our
-
of cement mixing processes. This is challenging due to the fast evolving chemistry in the early mixing phase and low X-ray contrast between mixing and intermediary components. The goal is through improved
-
period. It focuses on themes such as Scandinavism, the rise of the Danish nation-state and nationalism, urban versus peripheral dynamics, and the broader processes of information dynamics and reception
-
rigorous fieldwork around the world to build and improve an assemblage of biological data sets on species’ distributions and traits. We use a range of tools from novel macroecological process-based and null
-
through self-regulation, lobbying, and coalition-building. Key Tasks: Conduct comparative case studies of business self-regulation in wage policy (WP2) and climate policy (WP3) in Germany. Utilize process
-
and improve an assemblage of biological data sets on species’ distributions and traits. We use a range of tools from novel macroecological process-based and null models to cutting-edge DNA and genomic
-
assemblage of huge biological data sets on species distributions and traits built from primary sources, as well as huge genomic data sets. We work with novel macroecological process-based and null models