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Field
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strategies, develop reproducible pipelines, organize tasks, and ensure the quality and consistency of data-analysis workflows. INAB conducts research in cognitive neuroscience, including perception
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understand how cells spatially organize to drive solid tumor development, and it brings together three fast-moving fronts: spatial proteomics, lineage tracing technologies, and laboratory automation
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and skills in algorithm design and implementation. The candidate should have a background in machine learning and experience is welcome in common software libraries such as Pennylane, Qiskit or similar
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€) based on the candidate’s qualifications and experience. Flexible 37.5 hours working week Free parking available at our facilities. Continuous training plan to support your professional development. Good
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environment. The successful candidates will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. Key responsibilities: Contribute to the research and development activities carried out within
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to transformative technological developments, and supported the creation of successful spin-off companies. By joining CVC, you will become part of an international, multidisciplinary environment where cutting-edge
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cancer in the general population. New strategies are increasingly being developed based on an in-depth understanding of the genetic causes of disease. Therefore, an accurate genetic diagnosis is important
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. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The successful candidate will perform the following tasks: Development of quantum sources and systems
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to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different