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models and systems. Who we are looking for We are seeking a motivated and skilled researcher with a PhD in Electrical Engineering (e.g., electric power systems, automation, or control) or a related field
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
analysis from high-throughput sequencing projects, employing in-vitro, preclinical and clinical studies. This position involves designing and executing experiments, data management and analysis, manuscript
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
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of research results through scientific publications and presentations Conducting independent and self-motivated research while contributing to our research team Who we are looking for PhD in inorganic solid
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through scientific publications and presentations Conducting independent and self-motivated research while contributing to our research team Who we are looking for PhD in inorganic solid-state chemistry
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extensive interests in population genetics and human evolution, providing numerous opportunities for collaboration with postdocs and PhD students working on related projects. The program is also part of
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beam time Dissemination and education activities directed to MAX IV users and the wide MX community. To be successful in this role you need to have the following qualifications PhD or equivalent in
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Dissemination and education activities directed to MAX IV users and the wide MX community. To be successful in this role you need to have the following qualifications: PhD or equivalent in Structural Biology
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration