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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-10346 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Signal Processing, or a closely related field, completed or nearly completed at the start date. Strong background in
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aims to deepen our understanding of water resource contamination and contribute to environmental sustainability by improving our capacity to reduce its impacts. The project investigates point‑source and
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. Data and analysis: Maintain accurate experimental records and contribute to analysis of imaging, treatment, and biological data, including relevant tissue processing and histology. Platform evaluation
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and validate its accuracy against previous benchmarks for small molecules like PtH. This approach is general and can be directly combined with EOM-CC embedded in point charges, or in periodic DFT
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, mPFC/prelimbic cortex, and related regions. Recording and analysing physiological and behavioural signals, including pupil, respiration, heart rate, facial/orofacial movements, and task behaviour
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, information theory, computational biology and image processing. Applicants must have (or expect to have at the time of appointment) a PhD. The work location for this position is in-person on campus at Princeton
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and validate its accuracy against previous benchmarks for small molecules like PtH. This approach is general and can be directly combined with EOM-CC embedded in point charges, or in periodic DFT
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Job description Living systems process and respond to signals, and these responses range molecular or electrical changes inside a (neuronal) cell to macroscopic behavioural responses of animals
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in data processing, signal analysis, and programming (e.g. Python/Matlab) Demonstrated experience in publishing scientific journal papers Ability to work well independently as well as in a multi
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Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with