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and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and synchronization
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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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pharmacy. In close collaboration with partners from industry, healthcare, and society, we contribute to the urgent challenges of our time, such as energy, sustainability, digitization, and medical technology
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specimens, digitization of the microscopy slices, subsequent image processing, and statistical modeling of the neuropathological profiles. Prior to microscopy processing ultra-high field MRI images will be
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. The fellowship candidate must hold a Ph.D. in Agricultural Engineering or related fields, with expertise in irrigation, remote sensing, image processing, and precision agriculture. Experience in programming
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning
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tasks, such as object detection. Contributes to evidence-based processes and procedures for program quality review and assessment of outcomes data. • Build software packages for prototype systems. Minimum
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cognitive modelling. What are you going to do As part of the project, you will carry out microscopy processing of human-brain specimens, digitization of the microscopy slices, subsequent image processing, and
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process on the micro-pilot scale to improve efficiency and product quality. About you PhD in data science or mechanical/chemical/computer engineering or related area digital twin and systems engineering
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
of the position. The position is placed in the highly interdisciplinary Advanced Instrumentation for Nano-Analytics group at LIST’s Scientific Instrumentation and Process Technology unit. During the past ten years