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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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(usually chemical engineering or chemistry, or equivalent industrial experience, but please get in touch if you think your qualification may be relevant). Enthusiasm for research, the ability to think and
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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internationalisation and gender mainstreaming. Top-level Master’s and Bachelor’s degree holders in chemistry, physics, biology, biochemistry or engineering are encouraged to apply to our educational training programme
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Course location Gießen Description/content The GGL provides an interdisciplinary, concisely structured graduate programme for all Life Science disciplines at the Justus Liebig University (JLU) in
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for energy applications. You will work in a highly collaborative and interdisciplinary environment, which comprises, among others, experts with backgrounds in physics, chemistry, materials, and computer
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pathway component expression can maintain tumour drug sensitivity during multiple cycles of treatment, minimising chances of the tumour becoming resistant, and one would ideally want to administer
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | 1 day ago
, biomedicine, chemistry, physics or a related field will be required. It is not necessary to hold the degree at the time of application. It must, however, be awarded by the programme start date. Language
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Your Job: Random unitaries are a ubiquitous tool in quantum information and quantum computing, with applications in the characterization of quantum hardware, quantum algorithms, quantum cryptography