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Security Minimum requirements: Python knowledge; Experience of developing software for data streams. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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devices. Minimum requirements: Advanced knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous
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and Linux; - proven experience in using Machine Learning techniques and programming with C++ and/or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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and real-world testing environments (e.g., automotive or robotics).; Minimum requirements: • Experience with software development (e.g., Python, C++) and basic knowledge of sensor systems. 5. EVALUATION
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requirements: - solid knowledge of the TCP/IP stack and Linux; - proven experience in programming with C++ and/or Python; - research and development experience in the field of computer networks. 5. EVALUATION
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projects.; - Fluency in English (written and spoken).; - Experience with open data platforms.; Minimum requirements: - Knowledge and programming experience in Python. - Ability to work independently or as
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communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
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requirements: Solid knowledge of programming and signal processing, based on Matlab or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase
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greater than or equal to 16 out of 20; Experience in python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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-)fluidics Implementation of microscopy techniques (including confocal) and microrheology Structural and mechanical characterization of the gels Data analysis (using Python or equivalent tools) Literature