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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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programming tools for the new biosensor integrated prototype. If you are interested in joining to a young, dynamic and highly multidisciplinary team, with a highly innovative research project, this could be
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on qualifications and demonstrated experience. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax
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) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program based on Density Functional Theory, which can describe the atomic and electronic properties of systems
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on qualifications and demonstrated experience. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax
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of Hamiltonians. Requirements: PhD in physics or electrical/ mechanical engineering. Knowledge andprofessional experience: Knowledge of quantum mechanics,DFT simulations, programing machine learning tehcniques
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: Education: Bachelor's degree in Finance, Business Administration or similar Knowledge Accounting knowledge: General Accounting Plan, KPIs, Balance Sheet, P&L, Regional Accounting Standards (CCAA), etc
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flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages
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work schedules 6 h/day July and August and every Friday during all year 28 holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training
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Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training