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: The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1
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be distributed as follows: 1 point for required speciality. 2 points for required academic training. 2 points for technic competences. 1 point for organisational competences. 3 points for professional
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València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D Line: High-Performance Algorithms for Vector Processors https://www.upv.es
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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offer a PhD student position at the Universitat de Barcelona (as part of the PhD Program in Mathematics and Computer Science) to develop new AI and federated learning algorithms for diagnostic imaging in
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- Simulación en entornos virtuales para el estudio de algoritmos de clasificación de objetos y generación de datasets ------------------ - Implementation of algorithms in embedded processing systems for train
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who accomplish all the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1 point for required speciality
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of auditory stimuli and creation of stimulation sequences 5) Implementation of pilot studies in adults and infants 6) Programming analysis algorithms for FFR, MMN and statistical learning, based on spectral and
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-------------------------------- - Implementation of algorithms in embedded processing systems, train integrity algorithms in IoT - Programming of embedded systems and HW implementation for IoT in railway applications Where to apply E-mail
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/2021, of 16 April, of the Valencian Civil Service it is hereby stated that the percentage distribution in the contractual job vacancies of PhD senior researcher for research projects is 66.67% for women