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decision-relevant outputs such as restoration and implementation scenarios. The postdoc will collaborate closely with experts in remote sensing, ecology, environmental science, and engineering while
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decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
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Job Description Are you passionate about using enzyme technology to enable the green transition? At DTU Bioengineering, you can become part of developing next-generation biocatalysts for formation
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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Job Description Do you have a background in Science & Technology Studies (STS) and want to establish your career as an academic scholar? Are you interested in conducting cutting-edge basic research
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of technological business models in collaboration with our in-house innovation hub. Your profile The ideal candidate is expected to hold a PhD in Physics, Photonics, Electrical Engineering, or a related field, and
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The Department of Mechanical and Production Engineering (MPE) at Aarhus University invites applications for a postdoc position offering applicants an exciting opportunity to join the “Fluid
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next‑generation insect camera traps with on‑device (edge) computing for real‑time detection and classification Collaborating in an interdisciplinary team spanning ecology, computer science, engineering
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candidates will be involved in materials crystallography research in collaboration with other members of the Iversen group. The candidates must have a PhD in chemistry, crystallography, physics, materials
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collaborative project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis