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analysis using a software platform such as R, Python, MATLAB, STATA, SAS, or others. Proficiency in energy modeling/simulation and cost estimating using such platforms as DesignBuilder and EnergyPlus and
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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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. 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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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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
support services. The hired engineer will be a member of the KerData Inria team (https://team.inria.fr/kerdata/ ) led by Gabriel Antoniu. KerData is a joint research team of Inria Rennes - Bretagne
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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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using Python. Analyzing both quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining. Transcribing and coding qualitative data using
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addition to genetics, we seek candidates who can teach (1) introductory courses in data science using R or Python or a general biostatistics course, and (2) 200 or 300-level courses in their area of expertise. Ideally