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. Angélique FERRY (50%) and Dr. Morgane de Robichon (50%), BioCIS Laboratory (CY Cergy Paris University) Nucleosides represent a ubiquitous family of biomolecules involved in numerous key biological processes
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and extend existing numerical codes to simulate these phenomena. Some experiments and modelling will be done in collaboration with other PhD students in the GRAIL project. Your tasks: • Simulate
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/Electromagnetics theory, design and simulations Machinelearning mathematics and algorithms Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written
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. Perform numerical simulations on the performance (i.e. secret key rate versus distance) of these systems as a function of the magnitude of the imperfections. Write scientific articles. Where to apply
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properties of individual materials depending on the temperature. The results obtained from the numerical analyses give a relatively objective picture of the behavior of materials under the influence
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relevant to particle physics and cosmology. The candidate will use formal tools descended from string theory and supergravity, to perform analytical and numerical calculations of observable quantities in new
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and
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to conduct experimental and/or numerical studies related to the reactor development and process optimisation under supervisions of senior researchers from AU and 1414D. Research objectives To systematically
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, mathematics, or related scientific disciplines. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experience or capabilities in engineering design or manufacturing methods
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travel. Requirements: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and