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doctoral thesis agreement, including an application to one of the Universit of Vienna doctoral schools (e.g., CoBeNe, https://vds-cobene.univie.ac.at/) within 12–18 months. As a University Assistant
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on the lab and project needs. There may be work that is required outside of normal hours for sample collection. Minimum Qualifications Full Employment Eligibility Requirements can be found here: https
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. Scripting in Python, Bash, or Go. Familiarity with TCP/IP, DNS, firewalls, and load balancing. Solid grasp of application security best practices. Strong problem solving in complex, multi-tier environments
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Python, PySpark, and machine learning frameworks (e.g., PyTorch) Desired: expertise in working with social media data, metadata, and web standards Ability to communicate fluently in English; basic
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Programme (PEPR) Forest Resilience (FORESTT – https://www.pepr-forestt.org/ ), funded by the French Plan d'Investissement d'Avenir (PIA) France 2030. FORESTT aims to support the transition of forest socio
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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combining qualitative and quantitative analysis Familiarity with R, Python, or similar analytical tools. Experience with text analysis and survey methodology Knowledge of energy, climate, or sustainability
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in multidisciplinary teams. Ability to program in high-level languages such as Python or C. The following experience will strengthen your application: Experience training others in technical methods
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the guidance of PWBM team leader and PWBM’s Faculty Director, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python
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knowledge needed for testing of ecological hypotheses, performing bioeconomic analyses, and informing science-based policymaking. Where to apply Website https://www.academictransfer.com/en/jobs/359448/phd