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., Hidden Markov Models) Experience with statistical software (for example R) Affinity with clinical populations Furthermore your suitability is ideally exemplified by: An ambition for high quality research
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-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or similar software
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. However, evaluating such architectures at system scale remains a major challenge due to the limitations of conventional software simulation and existing device-level emulation platforms. This PhD project
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to develop advanced skills with programming software such as R, Python or Matlab. Professional working proficiency in English, including scientific writing. Additional Information Benefits Terms of employment
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how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially
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glycobiology? We are looking for a motivated and ambitious PhD student in our glycoproteomics team to push high-end mass spectrometry hardware and software technologies beyond current limits by developing
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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include theoretical results, mathematical proofs, and computational algorithms, as well as open-source software and validation through simulations and analysis. Experimental demonstration is an option if it
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or simulation tools such as Python, MATLAB, COMSOL or equivalent software. Ability to plan experiments systematically, quantify uncertainty and document results reproducibly. Proficiency in written and spoken
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presentations, peer-reviewed journal articles, open-source software, patent applications and eventually in clinical products. Where to apply Website https://www.academictransfer.com/en/jobs/363003/phd-candidate