446 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
. The Department of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel
-
environment that supports work-life balance and individual needs. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions
-
responsibilities across Aarhus University’s core activities in research, teaching and supervision, talent development and knowledge exchange within intercultural studies. The Department of English takes a broad view
-
technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development
-
for downstream chemical synthesis. Lab-scale gasification trials in DTU’s ~1 kg/h bubbling fluidized bed reactor, coupled to a gas phase partial oxidation tar reformer (POX). Focus will be on the development
-
development of our hybrid power plant simulation models and controllers, mainly the plant level controllers taking into account the interaction with commercial wind turbine, PV systems, battery system and their
-
the development of computational thinking. In short: “Teach students how to fish – and occasionally hand out a free fish.” We expect that you: Have completed the DAM course or a related subject with good results
-
bioavailability of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development
-
to answer questions around seed longevity, seed development, dormancy and germination in response to abiotic stresses. We expect that you will be an important part of the research environment and that
-
collaboration with our team. You will: Develop ML methods to handle conditional data generation mechanism in the development pipeline, and for optimization and simulation Develop ML methods for uncertainty