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Field
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: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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modeling and simulation tools (e.g., MATLAB/Simulink, Python, EES, or equivalent environments). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8521-MAXPER-005/Candidater.aspx Requirements
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fundamentals Strong programming skills in at least one relevant language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with
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proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high level of creativity, thoroughness
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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 12 days ago
of an electrochemical reactor, e.g. in Matlab and/or Python Suitable candidates hold a master's degree in the engineering or natural sciences, preferentially in chemical or process engineering, physics, chemistry or
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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Python Independent and analytical way of working Reliable and thorough working style Fluent written and spoken English; German language skills are advantageous Please feel free to apply for the position
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, Skills and Experience Broad knowledge of statisticsSkills in programming languages such as R and/or Python Experience of applying statistics to solve complex real-world problems Ability to handle a diverse