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Field
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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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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 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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/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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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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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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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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). 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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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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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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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