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computing, such as Python and C. Training in one or several of the following areas: computational physics, numerical methods, signal processing, statistical inference or scientific data analysis. Ability
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undertake the following tasks: Process and analyse geospatial data with a view to conducting studies to assess vulnerabilities in the face of different natural hazards. Running simulations to implement and
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will undertake fieldwork at apiaries where invasive hornets are present (in Andalusia). They will also assess bee health and monitoring methods, perform lab work (analysing field samples and processing
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the recruitment process in participating schools and directly contacting schools and teaching teams. Collaborating in preparing and standardising measurement tools (accelerometers, questionnaires, protocols, etc
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digital systems based on stochastic hardware for ultra-fast processing of molecular databases. (ii) Edge computing with FPGA and VLSI designs to develop new methodologies for implementing artificial
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Processing Multi-modal Medical Images and Decision Making. Block A. Academic and/or scientific and technical training (max. 50 points). Particular consideration will be given to candidates’ academic records
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Processing. Block A. Academic and/or scientific and technical training (max. 50 points). Particular consideration will be given to candidates’ academic records and other curricular merits, as
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-processing tools such as R, SPSS, advanced Excel or equivalent. Ability to coordinate with multidisciplinary teams and international institutions. Knowledge of prevention and control of disease vectors
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, lenses, beam splitters, microscope objectives, fibre connectors and other precision optics. Prepare lab equipment for daily operation, including lasers, electronic instrumentation and optical measurement
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, in order to proceed with their hiring. Selection process In accordance with article 8 of the Regulatory Agreement 14540 of 15 June 2022 governing the recruitment of research staff under Chapter 6