58 parallel-processing-bioinformatics PhD positions at Forschungszentrum Jülich in Germany
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local activation), multi-timescale adaptation (local memory), and stimulus-specific adaptation (multi-task processing). While the co-optimization of dendrite-inspired functional circuits with emerging
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for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe the complex electronic and ionic processes in battery materials. New
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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team of neuroscientists, computer scientists and clinicians Your Profile: Excellent university degree (Master) in neuroscience or a related field Solid understanding of statistics and programming (Python
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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analyses Electrode integration and processing studies: Incorporate catalysts into planar electrodes and investigate processing effects to ensure reproducible, high-performance assemblies Electrochemical
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the complex electronic and ionic processes in battery materials. New quantum algorithms will be tested for addressing topical questions in materials development for next-generation batteries. In this project
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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maturation Efficient production of high-quality scientific articles Close cooperation with an interdisciplinary team of neuroscientists, computer scientists and clinicians Your Profile: Excellent university
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: Master’s degree in mechanical engineering, process engineering, chemical engineering, energy technology, or a related field Proven expertise in modeling and simulation; familiarity with CFD tools such as