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characterization techniques. · Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
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computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating to the Zuccolo Group research
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of concept and transfer to industrial implementation. Various modern methods of plant biotechnology from the fields of process engineering, biochemistry, and analytics are of utmost importance for this. Be
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
estimation, forest fuels, or foundation model/self-supervised methods is especially valuable. The position offers the opportunity to lead peer-reviewed publications aligned with the project’s research
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designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal of applying them to data. Collaborative endeavours
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monitoring program over several years. Different additional methods, including molecular-biological, optical and acoustic methods (both on plankton and nekton) may be used to complement these datasets
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employ skills in graphic design, mixed methods research, and scientific communication. Northeastern’s Roux Institute offers an academic research environment combined with access to end-users who bring real
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Biology: Strong background in systems biology and regulatory network modeling Interdisciplinary Collaboration: Experience working across disciplines with computational biologists, computer scientists, and
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methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python