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of inflation and phase transitions in the early universe. We are developing new data analysis methods like the use of deep learning and the use of robust statistics. This work is naturally extended to studying
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of inflation and phase transitions in the early universe. We are developing new data analysis methods like the use of deep learning and the use of robust statistics. This work is naturally extended to studying
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Normalitzat_Cvi_registreiseguiment_english_1.pdf English (47.04 KB - PDF) Download Additional Information Benefits Gross monthly salary: 2.452,18 € National Social Security Insurance (Public Health Insurance) Planned end date of the tasks
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record, with a focus on empirical methods Proficiency in programming languages (R, Stata, Julia, Python) Spanish working permit (recommended) Specific Requirements Strong problem-solving skills, solution
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related with the optical lasers Experience with ultrafast lasers Experience in laser spectroscopy High level of English, both oral and written Communication capabilities in English Ability to work in a team
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of both official languages of Catalonia. Advanced English level. Advanced computer skills (Excel, Word, PowerPoint, etc.) Skills will be valued Strong knowledge of molecular biology applied
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
, pollutants, natural contaminants, microalgal populations and Harmful Algal Blooms (HABs) in marine coastal areas, impacting the ecosystems and food safety. Head of the Program: Dr Jorge Diogène Tasks and
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. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance Computing. · Experience with High Throughput
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, fluent in written and spoken English and with good communication skills. Previous experience in scientific software development (especially with Python) and data analysis will be considered as key assets
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. Adaptability and willingness to support team needs English proficiency Requirements for candidates: Up to 2 years of PhD experience in any field related to biosensors. Strong scientific background in a relevant