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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 26 days ago
environment from hazards caused by pollutants resulting from technical processes that produce energy and raw materials. The Department of Surface Processes is looking for a Postdoc (f/m/d
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and thus go beyond relatively straightforward safety and progress properties, system requirements related to the timing of events and the results from performance optimization need to be included in
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from the physics institute of Humboldt-Universität zu Berlin. Your responsibilities Development of QCLs (active regions) emitting in the range from 2 to 5 THz Optimization of resonator structures
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from state-of-the-art microfluidic lymph node on-a-chip systems used to study infection initiation and immune response. The postdoc will be co-mentored by an interdisciplinary team of biologists and
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including faculty members, postdocs and PhDs working on diverse topics in the field of dynamical systems and control and its applications. This PhD position is jointly supervised by Nathan van de Wouw, Tom
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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. Annual reports guarantee an optimal supervision of the progress of the projects. Scientific retreats, international meetings, exchange programmes, and journal clubs will complete the programme by giving
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topologies tailored for DC-powered HVAC units Synthesis and implementation of control strategies enabling droop-based HVAC operation with optimized energy efficiency Implementation of simulation models (PLECS
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Profile Recognised Researcher (R2) Positions Postdoc Positions Country Poland Application Deadline 26 Sep 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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to the timing of events and the results from performance optimization need to be included in the models. This PhD position will address these challenges by developing new timing-aware distributed supervisory