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Field
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of computational tools for process monitoring and predictive analysis Candidate Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in
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research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g., evaluation of large-scale achievement tests, and
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
update the Shared Socioeconomic Pathways (SSPs). Engage in stakeholder dialogues and outreach to share insights from global scenario analyses. Requirements: A postgraduate degree (PhD/Dr) in economics
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Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in process modeling, simulation, and systems analysis Experience with
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addition to using experimental wet-lab tools, we also develop software tools to identify novel hormones and receptors by running AI models (e.g. AlphaFold) on large-scale at high performance data centers
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the scientific design, oversight, and execution of the study while managing research staff and ensuring rigorous data integrity. Applicants should possess a PhD or equivalent doctorate in audiology, hearing
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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | 2 months ago
positrons to the experiment. Publish results in high-impact journals and present results at international conferences. Teach PhD and Masters students within the group. Your Profile Ph.D. in experimental
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scienceEducation LevelPhD or equivalent Skills/Qualifications PhD degree in Computer Engineering, Computer Science, Information Technology, Systems Engineering, or a related field. Strong knowledge of cybersecurity
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. About your role: Further develop and characterize a nanomechanical gas pressure sensor, including its fiber optic readout system, data acquisition (DAQ), and associated software Engage with application
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participatory workshops; Processing, analyzing, and interpreting collected data (transcriptions, data processing with analysis software, etc.); Writing academic texts derived from the project: scientific articles