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create a talent pool including candidates whose applications were unsuccessful but who participated in all the stages of the recruitment process and, where applicable, passed the relevant test. In such a
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). o Software and hardware co-design. Indicative skills/experience: - Designing for real-time inference and hardware acceleration. - Knowledge of runtime reconfiguration, latency profiling, and dataflow
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offer. Interview(s): These will be conducted by a Selection Committee to assess the candidate’s suitability in terms of professional experience and competencies. Additional tests (if applicable
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to announce a competitive examination, through the open access system, for admission to the university teaching staff in the positions listed in Annex I of this resolution, in accordance with the following
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positivamentela experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas
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LevelMaster Degree or equivalent Skills/Qualifications Education and qualifications: Required: PhD in Biology, or similar sciences degrees Fluency in English Desired: Course of animal handling Experience and
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… Requirements Research FieldAllEducation LevelMaster Degree or equivalent Specific Requirements -Have been admitted to a doctoral program. - Prove to be in possession of the appropriate training to fulfil
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vacuum, chemistry labs and scanning probe microscopies. Fluent in English, good writing and interpersonal skills. Molecular modelling software and programming knowledge for data acquisition and data
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selection criteria will be used to evaluate the candidates: - Academic record of the Bachelor`s degree in Chemistry or equivalent degree (up to 5 points): grade: 5.0 - 6.0 (1 point), 6.1 -7.9 (3 points), 8.0
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decide to create a talent pool including candidates whose applications were unsuccessful but who participated in all the stages of the recruitment process and, where applicable, passed the relevant test