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project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation
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code, in PDF format (preferably as one document) to Swantje Hartmann-Rolke: s.hartmann-rolke@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Physik Institut für Theoretische Physik Frau
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, please contact Dr. Lasse Hölck (tempfuture@lai.fu-berlin.de / 030 838-55180). Applications should be sent by e-mail, together with above mentioned significant documents, indicating the reference code, in
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) and certificates), indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Juliane Noth: chinacademy@geschkult.fu-berlin.de or postal to Freie Universität Berlin
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, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Sigmar Pauli: larss.heinke@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Biologie, Chemie, Pharmazie
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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07.12.2022, Wissenschaftliches Personal The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in
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The closing date for applications is 23.59 on 15th August 2025 Candidates who do not already have permission to work in the UK should note that by reference to the applicable SOC code for this role
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
and Environmental Engineering at the University of New Hampshire. The successful candidate will be responsible for developing and coding workflow processes and designing experiments for multisensory data