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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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Transfer Surfaces. From the processor in your phone to the AI compute in a data centre, every high-power electronic device faces the same limit: heat. This has created an urgent demand for next-generation
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languages, including Python, C++, or Java, focusing on algorithms and data structures applied explicitly in computer vision projects Knowledge of machine learning and deep learning frameworks, including
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage 2 300 € Monthly Gross Salary Selection process Please send your CV and cover letter
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the following areas: (1) cryptography, (2) Privacy-enhancing technologies, such as FL, (3) mathematics (including number theory and game theory), (4) machine learning, and (4) computer programming in C++, Java
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into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility of the PhD position advertised here will mainly involve
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applicants: an excellent Master degree in Computer Science or related discipline strong programming skills the ability to do independent research a good background and interest in human-computer interaction
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Kuemmeth (University of Regensburg, Germany). Projects include the development and operation of spin qubit processors, the exploration of coherent Andreev bound states in hybrid quantum dots, and the study
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, materials science, polymer engineering, or a comparable field of study In-depth knowledge in the areas of polymer materials, polymer characterization, and data analysis Excellent computer skills and