Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, implementation and operations, data analysis, processing, dissemination, and applications, leading to new instruments and applications. With the specialized and refined technology available, we are getting more
-
technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
-
, ultimately creating sustainable and competitive alternatives to fossil-based products and processes that can make significant contributions to reducing global greenhouse gas emissions. Technology for people
-
obtained from Senior Researcher Bjarke Eltard Larsen , https://orbit.dtu.dk/en/persons/bjarke-eltard-larsen . You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
-
that are trying to establish the indispensable building blocks for the quantum technology of tomorrow. Responsibilities You overall focus will be to model single-photon emitters in 2D materials and their
-
the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
-
internal governance processes, including work package coordination, decision tracking, and follow-up actions across partners. Applicants must have: A PhD degree in a relevant field (e.g., quantum technology
-
the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
-
Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
determination and characterization of transformation products formed during PFAS degradation; Experimental investigations of PFAS separation, immobilization, and degradation processes; and Experimental and
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural