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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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interdisciplinary project seeks to develop new approaches to resilient and sustainable urban development, in cooperation with Karlsruhe Institute of Technology (KIT) and RWTH Aachen. For the subproject based
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innovation and serves the needs of the economy and citizens. Researchers from the fields of economics, law, and political science collaborate at SAFE. Within the European project ESG UPTAKE aimed to strengthen
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programming skills with python Comprehensive knowledge of data science, data analysis, data management as well as machine learning Experience with data-driven machine learning (SINDY, LASSO, SISSO packages
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motivated person. If you can organize your work independently. If you have previously demonstrated the capacity to master the broad skill set necessary for the successful completion of a research project. If
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well as the opportunity to design and construct instruments and/or sample environments Establishment of cooperation projects with institutes at Forschungszentrum Jülich working on energy materials Supervision of MSc and
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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. For the research domain Climate Economics and Policy, led by Prof. Sabine Fuss and Prof. Matthias Kalkuhl, located at EUREF Campus in Berlin-Schöneberg, PIK is offering a position as a Postdoctoral researcher in
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the study of the impact of digital and computational pathology on clinical workflows and patient care. Our lab is located in the heart of Munich at the TUM Klinikum rechts der Isar (MRI), Institute