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Job description We’re looking for a postdoc with hands-on experience in genetically modifying marine phytoplankton—someone excited to learn how microbes naturally sequester carbon in the environment
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Mobility (UAM) Experimental emulators, prototypes, testbeds and distributed research infrastructure test platforms Set up real-world testing both in the laboratory using emulators and software defined radios
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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top 10 IT security/crypto conferences) Strong mathematical and algorithmic CS background, economics/finance - a plus Good skills in programming and scripting languages Commitment, team working and a
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of articles in scientific reviews and contributions to conferences Assisting with teaching activities, one to three hours a week, and contributing to tutoring students The PostDoc will primarily coordinate and
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/non-convex optimization (Mandatory) Signal processing Computational electromagnetics focused on time domain algorithms (Mandatory) Programming skills in MATLAB (Mandatory) Good oral presentation skills
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are looking for Postdoc candidates to join the team to contribute to our research agenda and to the excellence of the group and of SnT in general. Successful candidates are expected to participate in