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allow you to develop competences in Analysis of population recordings (suite2p and python) Quantification of behavioural (DeepLabCut and python) Analysis of the MICrONS dataset ESSENTIAL REQUIREMENTS
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with statistical computation (e.g., R, Stata, or Python) and data management. PREFERRED: Bachelor's degree in social science, statistics, computer science, or a related field; familiarity with social
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of software and resource sharing in collaborative work. DATA EXTRACTION, PROCESSING, AND ANALYTICS This position will utilize data science and statistical software such as Python, R, and SAS, to analyze and
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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available datasets. Utilize advanced statistical and analytical tools (Python, R, SQL) to derive actionable insights from data. Lab activity support Participate actively in team meetings, brainstorming
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 hours ago
analysis workflows. Program and implement statistical methods using R and Python. Design and deliver online teaching materials and training workshops for scientists. Supervise and train PhD students and
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and perform simulations using established software like MEEP and COMSOL, as well as custom-written code based on languages like C++, Python, Matlab Lead papers and publish in high-impact journals
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Excel, SPSS, R, Python, or Tableau. Strong attention to detail, analytical thinking, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. Applications
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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solid knowledge of electrophysiological signal processing with strong programming skills (Python and/or MATLAB; e.g., MNE-Python, scikit-learn, FieldTrip, EEGLAB) and statistical competence appropriate