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community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal processing with knowledge of quantum
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and contribute to grant development Present findings at laboratory meetings and national/international conferences Mentor graduate students and junior trainees as appropriate Required Qualifications PhD
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monitoring. Candidates should hold a PhD degree with professional experience in Aquaculture research. Key duties: Successful candidate is expected to: Publishing results in peer-reviewed journals and present
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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deglaciation. Duties include but are not limited to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using
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to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will
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in hand by the start of the appointment. Candidates must have received their PhD or foreign equivalent within the past 2 years to be eligible for this early-stage postdoctoral training position
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
are required to reside within commuting distance of Göttingen. Your profile A PhD degree or equivalent in Political Science, Sociology, Economics, or a closely related discipline. The degree must have been
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and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics
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statistical and geospatial analyses (e.g., using ArcGIS, SPSS, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across