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are surrounded by a larger energy system with which they interact. This PhD project will investigate how their design and external constraints affect their ability to balance energy and carbon procurement and
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, or Electrical Engineering (near completion also considered). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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predicting honeybee behaviour for social immunity in response to identified receptor-ligand hits. The key responsibilities of the successful candidate will include: Design, engineer, and characterize honeybee
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. The position is 18,5 hours per week and location is in Esbjerg. Your work tasks The Post doc position will be part of an ongoing EU project “IGNITION” (Improving green innovation for the blue revolution
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hosts 30–40 guest researchers from around the world. We offer advanced laboratory and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional
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. The Research Assistant will be connected to ongoing research projects conducted within the area of Sensory and Consumer Science. We seek a candidate with a background in food science. Knowledge about the design
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. The Research Assistant will be connected to ongoing research projects conducted within the area of Sensory and Consumer Science. We seek a candidate with a background in food science. Knowledge about the design
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” (Improving green innovation for the blue revolution – Homepage - IGNITION ). The project seeks to revolutionize salt tolerant (halophyte) biomass use by developing a universal biorefinery model for processing
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sector consultancy, and innovation. Responsibilities and qualifications The primary responsibilities and tasks are: Research in GNSS integrity with emphasis on reliable detection of GNSS jamming and
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combines top-tier expertise in CFPS systems and NN world class proficiency in yeast engineering and cultivation. Your primary tasks will be to: Design and conduct experiments to optimize the production