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. The work will be carried out in the Archaea group, Section for Microbiology, Department of Biology with collaborations for Cryo-EM & correlative imaging (EMBION) at iNANO & the Department of Molecular
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, computer science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: For 1) Mechanical and Mechatronic Design of Continuum Surgical
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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and advanced live imaging techniques, and/or computational analysis of spatial omics data — experience in two or more of these areas is highly advantageous Knowledge of cancer biology is a large
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an educational background within robotics, mechanical engineering, electrical engineering, computer science or similar area is required. The candidate is expected to have a profound knowledge on the majority
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Job Description A 9 month postdoc position is available at the Center for Fast Ultrasound Imaging (CFU), Department of Health Technology from December 1, 2025 sponsored by the European Research
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, interdisciplinary team working at the interface of computational biology, genomics, and molecular physiology. Our groups, together with close collaborators aims to understand how biophysical microenvironments such as
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and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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this process. To facilitate the removal, we can optimize the surface active chemistry such that the system is more prone to destabilize. When several chemistries are present this becomes very challenging and
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Postdoc position to support international research and capacity-building projects employing elect...
degree in geophysics, engineering, or a related field. Proven experience with EM data processing, inversion, and interpretation (e.g., TEM, AEM). Experience with geophysical inversion software, such as