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software such as OpenSees and SAP2000 is preferred. Programming skills in MATLAB or Python are desirable. All applicants must have valid GRE scores and satisfactory GPA. International applicants must provide
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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Artifact Repository: Artifactory Network: SSH, SCP, FTP, HTTP(S), TCP/IP, STIG compliance, firewall/iptables setup. Scripting: Bash, Perl, Powershell, YAML, Python Operating System: LINUX (Redhat, Ubuntu
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developability assessment tools such as aggrescan, AbImmPred etc. - Strong knowledge of different machine learning architectures and training techniques is essential. - Proficiency with programming in Python and
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). Contribute to sport business and operations analytics projects as needed (e.g., ticketing, fan engagement, and scheduling). Build and maintain data pipelines and models using R, Python, SQL, and cloud
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Independent way of working Basic programming skills (Python) advantageous Very good knowledge of German or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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Maintain detailed records of results and prepares written reports acceptable to the Principal Investigator and funding agencies Other duties as assigned Unit URL https://uiexperimentalforest.org/ Position
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statistical analyses on patterns or trends in regulation using appropriate statistical programming languages such as R or Python. Produces reports summarizing research and analyses in an effective and objective
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Enhance Software: Implement small code changes, features, or bug fixes to internal tools, backend services, and automation scripts. Assist with building and modifying Python-based logic for data processing