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state, Brazil) is offering one post-doctoral position funded by FAPESP, the São Paulo Research Foundation. The project involves developing combinatorial optimization models and methods applied to packing
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Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine Learning, addressing challenges
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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in AI. We expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing or optimization Constrained or combinatorial query evaluation Data modeling under
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leader and follower decisions. We are seeking for a motivated and enthusiastic Postdoc (PD) researcher to join the Combinatorial Optimization group (https://www.tue.nl/en/research/research-groups
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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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tools, such as reactive sputtering, co-evaporation, or molecular beam epitaxy. Background developing and optimizing polycrystalline photoabsorber materials and interfacial/contact layers, including device
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, distinguishing between combinatorial and continuous optimization tasks. Benchmarks will be established to quantitatively link the characteristic properties of Rydberg quantum hardware to the complexity and