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Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project The project aims to develop hybrid quantum–classical approaches
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targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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recently completed or will soon complete their doctorate. Background Digital Futures is a cross-disciplinary research centre that explores and develops digital technologies to address major societal
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to its future development. The applicant shall be well familiar with modelling techniques and software in multiphysics and/or battery modelling (Ansys, Comsol, PyBaMM or similar). The applicant should be
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-on engineering. Historically it has been instrumental in many areas, from the early development of telecommunications to the space race. Today, driven by the need to engineer ever larger systems, Automatic Control
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excellent research, innovation, and education, we contribute to the development of future industrial value chains. In the division ofMaterials and Manufacture you’ll join a friendly, international team
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the Division of Chemical Biology , we combine and develop protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods to address cutting-edge questions in biology
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with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people
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from complex sequencing datasets generated from patient material and experimental systems. You will work with Oxford Nanopore long-read sequencing and Illumina short-read sequencing data, developing and
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for academic development, interdisciplinary collaboration, and international networking Entry requirements We are seeking a highly motivated postdoctoral fellow with the following qualifications: A PhD (or near