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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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to restore pericytes in the brain and retina. For more information, visit our lab webpage at https://med.umn.edu/ophthalmology/research/junge-lab Responsibilities: Experimental Research: Conduct in vitro and
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energy-related materials. The successful candidate must hold a PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related discipline, within less than 5 years post receiving
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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Researcher (R1) Positions PhD Positions Application Deadline 28 Aug 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Nov 2026
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. The postdoc will apply and optimize new approaches for NGS library preparation and analyze genomic data for variant calling. We value diversity of backgrounds in our team and seek candidates who can commit to a
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/Fellow to undertake applied research related to the design and optimization of fuel-cell-based electric vertical take-off and landing uncrewed aerial systems for medical deliveries. Reporting to ARC Future
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tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This PhD position focuses on scenario development, as well as the modelling
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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-design transformation in Nordic and European electricity markets. The PhD candidate will develop and apply optimization-based market models to analyze how different market-clearing and capacity-allocation