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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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and colorimetry assays Analytical chemestry Microscopy Previous experience with Food science and nutritional science We expect that you are an efficient team worker, have good communication skills, and
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for experimental research within molecular biology, strain engineering, high throughput screening and fermentation at different scales. Responsibilities and qualifications Focus is on genetically engineered bacteria
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on other issues. Both the type of information required to make these decisions and the decision-making processes that can achieve socially just outcomes are unknown. In this project, we aim to bridge
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equivalent), preferably within civil and environmental engineering, statistics, industrial ecology or data science with a passion for sustainability. We welcome candidates with postdoctoral experience
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above. You have: A PhD in life science, e.g., molecular biology or biochemistry. Expertise in e.g. recombinant expression and purification of proteins, crosslinking/mass spectrometry, fluorescence
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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. Foreign and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years. Contact Further information on the Department is linked at https