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Field
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recordings with silicon probes or Neuropixel probes is highly advantageous. For NeuroAI focus: Strong programming skills in Python and Matlab. For NeuroAI focus: Familiarity with analyzing large-scale neural
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PhD Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. Excellent communication and
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field that provides a strong research background for the project. Fluency in English and Python are required. Research experience working with large-scale machine learning projects, extensive research
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Strong quantitative background Experience with programming languages (e.g. MATLAB or Python) Experience with statistical software (e.g. R or Stata) Ability to work across broad scientific missions and
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with computational environments for ’omics data manipulation (command line, Python, R, etc.) * Deep knowledge in at least one relevant subdiscipline, i.e. bioinformatics, microbiology, microbial ecology
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, computational cancer biology/genetics or a related field, obtained within the last 5 years by the time of the appointment start date or an M.D. within 10 years as well as Proficiency in Python, R, and ML
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. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
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modelling Skilled in tools such as Python, R, MATLAB/Simulink, DlgSILENT PowerFactory, PSCAD, PSS, OpenDSS, HOMER Pro, etc MPC, Real-time control, economic dispatch, DR Strategies Communication Skills Capable
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 17 days ago
; - Proven experience in cell culture (e.g., iPSC neuronal differentiation), microelectrode array (MEA) recordings, calcium imaging, and programming (e.g., MATLAB, Python); - Be enrolled in a PhD Program or an
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of the Python scientific programming stack (e.g. pandas, numpy, jupyter, spark) and best practices for software development (e.g. version control, unit tests). Experience working with relational databases, SQL