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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 months ago
on key attributes of manufacturing processes involving crystallization and precipitation that have transformed the rational design, control, and optimization of these processes. This project focuses
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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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engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in sustainable urban mobility. Job requirements PhD in OR and other related
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team in Amsterdam will be critical, thus good communication and organization skills are warranted. The candidate will contribute to PhD supervision, and closely collaborate with the wet lab team
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compliance. The optimal candidate will have a background in neuroscience, as well as a solid understanding of genetic, cell biological, biochemical, and/or molecular biology techniques. In addition
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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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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). Qualifications: PhD in Electrical Engineering, Control, Applied Mathematics, or related field (completed or near completion) Strong publication record in top-tier journals or conferences in power systems, control
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the framework of the URANUS project. Main activities : Develop and optimize AESEC experiments coupled with electrochemical systems operating in highly corrosive and/or high-temperature environments. Design
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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position