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pair distribution function (PDF) data for structure refinement and modelling of heterogeneous catalysts Publication of results in peer-reviewed scientific journals and presentation at conferences Your
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
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translational research with in-depth mechanistic studies in relevant pre-clinical GI cancer models and collaborate across scientific disciplines in two leading centers for medical research in Germany. An
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
an international team of researchers applying advanced quantitative methods and statistical modelling to a cutting-edge population topic. Students with an excellent master’s degree (distinction
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engineering with TensorFlow or similar frameworks Ability to develop Spiking Neural Networks from scratch, including training and quantization Optimize and benchmark applications and models for neuromorphic
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, sense amplifiers or memories Implement and verify circuit layouts through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Develop behavioural models for circuit verification
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combines microbial genomics, transcriptomics, and in vitro infection models to explore the adaptive trade-offs between drug resistance and virulence phenotypes. The position is funded for 3 years and
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Scrum) and modeling of system structures and behavior. Experience with common software development tools, for example Git, IDEs, CI/CD and issue tracking. We offer: A family-friendly and collegial working
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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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data Research experience with various demographic models (e.g. msprime, ABC or RELATE) Research experience in the denovo assembly and scaffolding of high-quality genomes using PacBio and Hi-C data