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Field
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-based hardware implementation, VHDL/Verilog modelling, C, C++, Python and MATLAB/Simulink programming. A proven background in laboratory measurements and circuit prototyping is required. The following
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++, Python, and MATLAB programming, digital signal processing, hardware acceleration techniques, as well as Radio-Frequency measurements and lab equipment. The applicants, nationals of countries outside
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of Bioinformatics, databases and data modelling, Artificial Intelligence and/ or natural language processing; Previous experience in the development of software, preferably in the Python language. Workplan and
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integration, database systems, or data quality. 2. Skills: Proficiency in Python (data processing, APIs) and good engineering practices (Git, testing, documentation). Experience with at least one: vector search
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Science; Have knowledge of SQL, Python, ArcGIS, Power BI, Java, and SAS. Work plan and goals to achieve The work focuses on developing an Integrated Analytical Platform for Territorial Intelligence – Smart
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utilizing modern programming tools and languages tailored to the project's requirements (e.g., Python, JavaScript, Django, among others). The activities may also include testing and validation on both
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degree classification (20%); Proven experience in programming for Machine Learning in Python (20%); Proven experience in training and testing large language models in high-performance computing
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the OpenQuake platform. The development will be carried out in a collaborative environment, using modern programming tools and languages aligned with the project's needs (e.g., Python and QGIS). 8 - Location
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
the area of programming in python, or microscopy analysis or related fields. Work plan The selected fellow will join the project as a researcher and perform the following tasks under the scientific guidance
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doctoral degree, in the scientific area of Electrical and Computer Engineering [JB2.1][JB3.1]knowledge of generative neural networks, C++ and Python programming, able to use Docker container platform, Linux