436 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" positions in Denmark
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on in vivo release of LAI suspensions in nonclinical models using the obtained data to generate a risk matrix for in vivo impact of potential particle size variations. A successful outcome of this
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contribute to technology development, data analysis, and dissemination. The position also includes participation in supervision of MSc or BSc students. The successful candidate must hold a PhD in biotechnology
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group as part of the diverse and international Nordcee section at the department, and will work closely together with associates from all RECLESS institutions. For more information about the position
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administrative staff, and students. You should also be structured and meticulous in your work, which is essential when collecting and managing data. Qualifications Documented experience with online gas analyzers
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behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
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EEG and behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with a solid understanding of color
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experiments and laser-based studies Conduct microscopy characterization and data analysis Qualifications Background in nanotechnology, materials science, physics, chemistry, or related fields Interest in
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
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data designed to foster inclusive, efficient and seamless transport infrastructure and mobility services. Subsequently, you will further develop the perspectival modelling approach, bringing LLMs