247 computer-processor-phd-"https:"-"Institut-Agro-Rennes-Angers" Postdoctoral positions
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
between the device-dependent and the device-independent scenario, and (iv) developing its applications in communication, computation, and security tasks Where to apply Website https://jobs.inria.fr/public
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» Solid state physics Physics » Mathematical physics Physics » Computational physics Physics » Applied physics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 11
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for an interdisciplinary “bridge-builder” who strives for Scientific Excellence and Real-World Purpose. ● Background: HCI (Human-Computer Interaction), Computer Science, Ethnography, Sociology, or a related
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. Preferred Qualifications: Experience in decision analysis and developing computer-based simulations to model either infectious or non-infectious diseases. Evidence of research productivity in mathematical
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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the ability to perform complex data analyses. Has experience with implementing computer-based experiments as well as field experiments. Has professional proficiency in English, both written and spoken
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research environment, with a potential to work with a Quantum Computer through our collaboration partners. The Center possesses the unique possibility to investigate cutting-edge interdisciplinary questions
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and quantitative gene expression analysis Excellent organizational, communication, and teamwork skills Certificates/Credentials/Licenses Computer Skills General office suite and willingness to learn lab
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum