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digital media, you will lead core research on reading and writing development using longitudinal school testing, experimental paradigms, and statistical modeling. You Will Have: A PhD (or near completion
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and intrahippocampal kainic acid (IHKA) mouse models with retrospective human iEEG and therapeutic outcome data. Responsibilities include small-animal surgery, multichannel electrophysiology
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, including a track record of contributions in decision-making under uncertainty robotic exploration and mission planning under epistemic uncertainty. You will have knowledge or experience in modelling and
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 5 days ago
physics or related field Knowledge in particle/astroparticle physics, cosmology, and physics beyond the standard model Experience with modern programming languages (C/Fortran/Python) Full proficiency in
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the mechanisms underlying cognitive map failures in psychosis. You will plan and conduct experiments, analyse behavioural and neural data using computational methods to study planning and inference, contribute
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analysis, model development, and signal processing techniques for seabed characterization. The position is budgeted for an initial two-year period and may transition to a full-time Research Scientist
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 15 hours ago
scalability on high-performance computing (HPC) platforms. The main assignment will be to investigate how knowledge about the structure and local interactions of combinatorial optimization problems can be
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 15 hours ago
updates) or when several versions of a codebase must be analyzed together. This position is part of a research project built around HyperAST, a model that represents source code histories as a directed
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission