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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 1 day ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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qualifications and experience. Area of expertise: Thermoplastic composite materials, composite material durability, test methods for composite materials, composite materials manufacturing, experimental
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Poetsch on "Biomedical Genomics" at the Biotechnology Center of the TUD, where this position will be based. The successful candidate will have the opportunity to receive training in cutting-edge methods in
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academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research
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the project will be the assessment of the model results with atmospheric measurements, as well the use of statistical inference methods for hypothesis testing. Finally the improved model will be used to provide
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, databases, and word processing applications. Experience in laboratory mouse care, including breeding and husbandry practices. Experience in mutant mouse strain generation methods and nomenclature. Experience
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of reimbursement and expense account processes and procedures Organizational skills and the ability to handle multiple tasks and details efficiently, often with numerous interruptions Excellent oral and written
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of Quantum Probability and Operator Algebras, Differential Geometry, Algebraic Geometry, Numerical Methods especially for Stochastic Differential Equations, Harmonic Analysis, and Classical Analysis, each
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, or a closely related field by the start date Strong background in many-body quantum theory and/or quantum computing Experience with numerical methods or quantum simulation frameworks is desirable
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian