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to industrially fabricated devices Your Profile Master and PhD in physics or a related field In-depth experience with quantum control experiments on quantum dot qubits Good software development skills Experience
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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? The doctoral degree should have been completed no longer than two years before the time of application. Doctoral students finishing their PhD studies by the beginning of the scholarship are also eligible
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
contract for up to 4 years with remuneration commensurate to experience (starting from approx. 67,500 EUR gross per year for researchers who have just completed their PhD, up to approx. 77,600 EUR gross per
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy
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projects in basic biomedical research and who wish to learn methods relevant to their current research. To this end, the grant finances the participation in practical training courses or short-term research
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biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we seek The ELBE program seeks
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Max Planck Institute of Microstructure Physics, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 2 months ago
programming and numerical modeling Candidates do not need to have experience in all of these areas. Applicants with a strong background in electronic-structure calculations and an interest in learning quantum
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) Ability to teach in both German and English Ability to work independently as well as part of a team Fluency in scientific English (at least level B2 or comparable) Research interests in political violence
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and