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Field
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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well as numerous other benefit programs. https://www.tamus.edu/business/benefits-administration/ What you need to know The anticipated start date for this role is June 1, 2026, pending final hiring processes. TTI is
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, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and
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: 282551530 Postdoctoral Research Associate D-25-CBE-00007 | Research | Chemical & Biological Engineering The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a
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biology, or other laboratory-based insect research Quantitative data analysis, including experimental design, statistics, and use of R, Python, or similar tools for biological data analysis Special
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. Experience in power system analysis (e.g. with PyPSA) is meritorious. Proven experience in programming languages (e.g. in Python), and in best practices for code management and documentation. Additional
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal