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Field
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
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Source localization Perception in sensor-degraded environments: Localization in smoke and dust filled environments Scene awareness Biometric/triage evaluations, etc. Mission-specific modules such as
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of sensors and devices on novel substrate materials, and develop novel active materials and fabrication methods to integrate all functionalities into these substrates create a database for passports and life
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advanced mathematical frameworks and algorithms that accommodate the distinct operational characteristics of these mobility services while addressing their charging infrastructure needs. Project abstract
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 8 days ago
. Main activities : – Read papers and state of the art - Benchmark existing algorithms – Write problem formulation, proofs of convergence. – Adapt the formulation to the target scenario. – Propose a new
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of a sustainable industry. At the same time, complexity is increasing through digital decision support systems, sensors, AI, and augmented reality. The goal is to develop knowledge and concrete design
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strong background in mathematics and statistics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience, as well as skilled
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agentic AI (e.g., large language models, algorithmic systems) shape users’ psychological and behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach
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process. By integrating simulation-informed priors into the reconstruction algorithm, we aim to significantly improve both accuracy and sensitivity. The position is hosted at the Fritz-Haber-Institut