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control. High proficiency in programming (C, C++, Python, MQTT, Matlab, among others) and dominance with industrial communication protocols such as ModbusTCP, OPC-UA, among others. Knowledge in digital
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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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skills in Python, MATLAB, LABVIEW or comparable technical computing and simulation environments Experience in laser spectroscopy is an advantage Familiar with material characterization such as XRD, SEM
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work received above-average grades, awards, or led to scientific publications. Proficiency in Python is required. Experience with additional programming languages, such as MATLAB or C/C++, is considered
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research
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, Geoscience, Soil Science, Physics, or related fields). Preferred skills: Commitment to contributing to outreach activities and research dissemination. Experience in computer programming (R+, Matlab, Python
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(e.g., Python, R, MATLAB) Strong interest in both neuroscience and computational methods Desirable criteria Strong interest in neurodevelopment and/or neurodevelopmental conditions Previous research
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative
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SWAT+gwflow Proven experience in modelling natural and human-induced drought (streamflow and groundwater drought). Proficiency in programming (R, Python, or MATLAB) and GIS tools. Experience in climate
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scripts to process and analyze behavioural and neuroimaging data in languages such as Python, Matlab, or Bash and/or using standard neuroimaging analysis software; Conducts statistical analyses using tools