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Master's degree in computer science or a related field A background in formal specification and verification Strong background in programming A pro-active approach to achieving research excellence Commitment
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on optimization) and in general be keen on using mathematics to model real problems and get insights. He should also be knowledgeable on machine learning and have good programming skills. Previous experiences with
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methods, clustering, and machine learning. Advanced level of expertise in the R programming language Skills appreciated: Mastery of classical tools and methods for analyzing NGS (Next Generation Sequencing
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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as
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, including programming, will be considered as an important asset Solid bioinformatic and biostatistics skills Excellent organizational and communication skills Fluency in oral and written English is essential
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown
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datasets [10, 11]. It will also be tested on the autonomous vehicles of the ACENTAURI team. 3 Work Plan The work of this postdoc includes: - Studying the state-of-the-art of LiDAR-camera fusion and VLM
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training around all of these aspects for researchers and engineers The essential expected skills are: Good practice of Unix/Linux system and system administration Good programming experience (C/C++, Python
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) based on various libraries. It is developed in modern C++ and offers C, Fortran, and Python application programming interfaces. PDI offers a reference system similar to Python or C++’s shared_ptr with