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research strengths are in the areas of (1) Artificial intelligence, machine learning, natural language processing; (2) Computing foundations, algorithms, modeling, bioinformatics, visualization; (3) Human
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: Experience of work in chemistry lab environment (e.g. material synthesis, material characterization, material testing and evaluation) is highly meritorious. Experience with machine learning algorithms and
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order to be successful, you bring: MSC in Computer Science, Physics, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good
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optimization methods for implementation within the framework of the objectives of the doctoral thesis, starting with the exploration of methods based on genetic algorithms. Explore the possibilities
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biological process, combining atomic physics, quantum algorithms, and biology, exemplifies the program’s interdisciplinary vision. Fellowship Funding Length is one year, with the possibility of reappointment
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, the Robot Operating System (ROS), the Gazebo simulation environment, and multiple programming languages (e.g., Python, C++, Java) and Data Science, including designing algorithms; Experience with
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, Boston. Specific work hours will be determined by the supervisor. What you'll do Use existing clinical and imaging data (public or within hospital) to develop AI algorithms, apply them into research and
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contexts, including the use of surrogate models. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria
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sources. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Oral test aimed at ascertaining candidates
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data. The work includes also the implementation of calibration and control algorithms for automated configuration and stabilization of the operating point of active photonic components. Where to apply