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Field
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. Experience in scientific programming, preferably using Python. Familiarity with seismic waveform processing (ObsPy or equivalent software). Willingness to participate in field campaigns, including
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. They refer to different levels of human anatomy (e.g. cells, tissues, organs or organ systems). VHTs are built using software models and data and are designed to mimic and predict behavior of their physical
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for PDRA to join the DQBF project: https://github.com/Sat-DQBF . The candidate will work on the development of DQBF solvers. The last few decades have seen tremendous progress in the development of SAT
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the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes
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. The role will involve literature search, preparation of materials, data collection and analysis, presentation of results, and drafting research documents. Where to apply Website https://www.uam.es/uam
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optimization of quantum algorithms and quantum circuits, enabling more efficient and scalable quantum software development. Hybrid Quantum-Classical Computing for Scientific Discovery: Create hybrid quantum
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located at 1100 South Marietta Parkway, Marietta, GA 30060. Department Information DEPARTMENT SPECIFIC TASKS AND RESPONSIBILITIES: 1. Design and develop full-stack software solutions for 3D modeling and
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of the assessment described under Section 5 below. 2.3 — The compulsory application minute, to be completely filled out, dated, and signed, is available at https://www.ua.pt/file/78384 . 2.4 — Submission
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
the life sciences Expertise with a wide range of modern statistical modelling and multivariate analysis methods Sound experience with statistical software (preferably R) Fluency in both written and spoken