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Field
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. Specifically, you will: Design, optimize, and operate inference and fine-tuning workflows for foundation models in EO Implement models on JAIF’s infrastructure and build reliable, reproducible data flows
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faults that affect their performance and energy consumption. Effective and timely fault detection is essential to maintain optimal operation and reduce downtime. In this context, the application
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. Optimize 3D CAD designs for precision and parallel measurements. Evaluate the feasibility of integrating the probe system onto a robotic end-effector and design suitable mechanical and electrical interfaces
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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under the guidance of experienced engineers. You'll gain hands-on experience in RF ASIC design, simulation, layout, and verification of analog integrated circuits, focusing on optimizing circuits
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electrolysis and fuel cells (SOEC and SOFC). By combining numerical modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic
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modeling with data-driven approaches, you will identify optimized operating conditions and strategies to improve both steady-state and dynamic performance in fuel cell (biogas) and co-electrolysis
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 2 months ago
teamwork skills 2. Applications Specialist Responsibilities Laboratory support for genome sequencing and related molecular biology techniques Development, implementation and optimization of protocols (e.g
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looking for a student to join the team as soon as possible. The aim of the master's thesis is to optimize the electrode production for a process in battery recycling. As a part of this, the current
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tasks Your job tasks includes the following responsibilities: Structural optimization and calculation of optical spectra of novel ternary metal nitrides using density functional theory and machine