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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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systems. Application areas include hot-spot cooling, energy harvesting for IoT devices, and sensorics. Main tasks: Design, synthesis, and optimization of thermoelectric thin films (n- and p-type
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 7 hours ago
Scientific Computing # Active contribution to Open Source Scientific Community codes # Working with application field scientists from various fields and different levels of IT background and their ambitious
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integrated project. Conduct field trials and collect samples across Texas as needed. 15% Develop and optimize analytical methods for bioactive compounds and assess their changes in different vegetables and
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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are looking for someone with proven experience in semiconductor device fabrication and characterization. Responsibilities Development and optimization of silicon heterojunction solar cells at different levels
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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research