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3 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
implementation of advanced algorithms, including variational and optimization-based approaches # Investigation and adaptation of mathematical methods in hybrid classical–quantum computing contexts # Documentation
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. Must be detail oriented and possess basic mathematical skills. Qualifications: Minimum: High School diploma/GED plus five (5) years of experience in a healthcare revenue cycle related or bookkeeping
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Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and
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State University of New York University at Albany | Albany, New York | United States | about 7 hours ago
exponentially more efficient calculations than conventional computers. This would revolutionize fields that involve optimization, modeling and simulation, cryptography, and AI. However, realizing this potential
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for the detection of ice in the fire plume. The planned co-supervision includes experts from electromagnetic propagation, mathematical optimization, and wildfire modeling, and guarantees that the topic is covered in
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5 Feb 2026 Job Information Organisation/Company Université Jean Monnet Saint-Etienne Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information