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operational systems with large numbers of atoms. The recent demonstration of high-fidelity gates, and the implementation of error-corrections codes have positioned NAA-based QP at the forefront in
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position as Postdoctoral fellow, position code 1352, in salary range 590 000- 670 000, depending on qualifications A stimulating, challenging and friendly international working environment with broad
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control Follow best practice for coding conventions and code documentation Engage with A Two-Way Learning Panel throughout the project to enable Indigenous capacity-building, ensure cultural sensitivity
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that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion
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enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or
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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 2 months ago
Job Code: 513 Job Offer from June 10, 2025 The Law & Anthropology Department is one of the three major departments which, together with a number of independent research groups, form the Max Planck
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
insurance schemes Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from
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As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 633 400,- per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to
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-based code optimisation. You will develop novel techniques that harness the power of machine learning to create optimisation strategies for compilers and memory management libraries for next-generation