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Field
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-of-the-art semantic and instance segmentation algorithms for 3D and 4D microtomography data. The project has a particular focus towards analysing fibre-based materials but will also consider other material
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We are looking for a highly motivated postdoctoral fellow will join the lab of Assoc. Prof. Davide Angeletti (www.angelettilab.com ) at the Department of Microbiology and Immunology
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. There is a standard pathway in the faculty for promotion to Docent (roughly associate prof.) and Professor through demonstrating excellence in teaching and research. Applicants for a position will be ranked
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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: Experience in tree breeding, knowledge of selection algorithms/predictive models, programming skills, experience in breeding simulation, first authorship, conference presentations, strong problem-solving
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for scientific purposes. The postdoc will work with Prof. Daniel Metcalfe (Umeå University, Sweden) and Dr. David Bartholomew (Botanic Gardens Conservation International, Brazil), and collaborators within
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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contact: Prof. Eduard Hryha, director of CAM2 and topic leader: hryha@chalmers.se Prof. Uta Klement, head of Division of Materials and Manufacture: uta.klement@chalmers.se We look forward to your
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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application and travel costs. For further information, please contact Prof. Dr. Helge Arz, (head of Marine Geosciences, helge.arz@io-warnemuende.de ) or find out more at www.io-warnemuende.de