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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
discoveries in scientific journals and international conferences Working in collaboration with PhD students and research technicians Qualifications and skills Completed university degree and PhD in the field
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completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
of the experimental system, such as the microwave radiometer, the first stage detector element and the dielectric haloscope booster. Formal requirements for this position are a PhD in microwave engineering
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degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge of the structural characterization of matter primarily with neutron and X-ray scattering
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) to evaluate mechanical loads and material behavior Optimization of new stack designs using fluid dynamic modeling and development of concepts for scaling the technologies for various Power-to-X applications
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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-reviewed journals. The postdoctoral fellow will have the opportunity to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity
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tools Supervising and guiding Master and PhD students Active participation in project meetings and events Presenting and publishing the research on an international stage Your Profile: As part of our
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international journals Presenting at national and international scientific conferences Applying for research funding in the field of pancreatic cancer Your Profile PhD in Biology, Medical Research, or a related
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER