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- CRAG-Centre de Recerca Agrigenòmica
- Institute of Photonic Sciences
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Field
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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study for the evaluation of analytical fingerprinting techniques such as food fraud screening for the improvement of official agri-food inspection and control plans Functions and Tasks: The postdoctoral
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communication skills; ability to work effectively in an international environment. • Demonstrated ability and motivation to learn new techniques and procedures. • Experience with control and data acquisition
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to artificial gauge fields constitute an ideal platform for exploring this physics due to their well-defined microscopic theoretical description, and pristine and highly controllable experimental realization
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at enhancing biogas production. Development and operation of bioprocesses in bioreactors at both laboratory and pilot scale. Analysis of biological and physicochemical parameters to monitor and control microbial
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of control software and data management systems for the automated laboratory. Development and deployment of AI algorithms for adaptive experimental planning, optimization of experimental space, and automated
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propulsion. The success of the project will enable the development of highly efficient devices and open a new research line on active control of space plasma thrusters. At the Plasmas and Space Propulsion Team
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https