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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
, experimental design, experimental implementation and a critical approach to data analysis. The applicant should have relevant original first author papers or submitted manuscripts in recognized and relevant
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around 175 people and is responsible for research and education within the department’s scientific areas. We educate both Bachelors and Masters of Science in Engineering and around 825 students
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environmental changes, and ecosystem sustainability Experience with machine learning, or process-based models Teaching and supervision experience Who we are At the Department of Agroecology, our main goal is to
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models to quantify phenological responses. Collaborate with internal and external partners, including leading researchers in phenology and population biology. Mentor master's students participating in
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an interdisciplinary project in neurobiology and work together with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in
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. As a postdoctoral researcher on the ATHENA project, you will be responsible for the technical development of our high-speed dermal atomic force microscope (HS-DAFM) system, with a primary focus on
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broad range of collaborations and career development opportunities. Principal supervisor is Associate Professor Jiwoong Lee, Department of Chemistry, jiwoong.lee@chem.ku.dk, Direct Phone: 35333312
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during the project period in courses at DTU. Candidates should have a two-year master's degree and as a formal qualification, you must hold a PhD degree (or equivalent) preferably culturing basidiomycetes
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and Resource Engineering. Responsibilities and qualifications Your main tasks will include: Evaluating the value chain of the wind industry, with a focus on material flows and circular potential
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in close collaboration with colleagues, and with academic partners in Europe. Your primary tasks will involve formulating, estimating, and testing demand / choice models, implement them in a complex