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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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programs in Biology with about 400 students enrolled as well as a PhD program. The Department offers a vibrant and informal research environment with a long-standing tradition for collaboration with
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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Postdoc position to support international research and capacity-building projects employing elect...
. Publication of scientific results in international journals and presentation at conferences. Supervision and mentoring of MSc and PhD students. The successful applicant will also be required to support parallel
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
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and working with Master and Ph.D. students at ECE and collaborators as needed. Your profile Applicants should hold a PhD in Electrical Engineering, Electronics Engineering, Materials Science, Physics
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spatially explicit process-based ecological model (DEB-IBM) for muskoxen in the high-Arctic through the analyses of long-term GPS and acceleration data. using the model to estimate the (cumulative) impacts
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collaborate closely with internal and external partners to advance the project. Your profile The ideal candidate holds a PhD in biochemistry, structural biology or a related field, and has hands-on experience
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of root hair infection and root nodule development and a strong background in plant-microbe interactions is expected. Applicants must have a relevant PhD and additional experience from postdoctoral
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this process. As a key member of the project, the successful candidate will design, execute, and analyse experiments to generate genetic and molecular insights into symbiotic interactions; communicate results