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Field
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bring technical affinity and interest in improving experimental setups, along with basic programming or data-analysis skills (e.g., Python, MATLAB, or R); You have strong communication skills in English
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wind energy systems. In particular, experience in one or more of the following areas will be considered highly beneficial: Scientific programming in Python or MATLAB Structural mechanics, reliability
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of advanced wind turbine components. Experience in one or more of the following areas will be considered highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | 2 months ago
or more programming languages (R, Matlab, Python) Video-based approach to behavioral analysis is beneficial Competence with C. elegans and/or fluorescence imaging techniques is beneficial but not necessary
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the following requirements: Master's degree in electrical engineering, mechatronics, or a related field, a clear interest in the topic of the position Strong programming skills in Python, with experience in
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analysis, including statistics and machine learning techniques. Proficiency in scientific programming, especially Python and/or Matlab, and experience in shell scripting. Excellent written and oral
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techniques Programing experience (Matlab and/or Python) willingness to work with animal models general interest in interspecies / interdisciplinary studies Please send your completed application documents
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collective quantum phenomena to reach higher performance or lower dissipation (see, e.g., arXiv:2411.00944 ). Project details are available at: https://warsaw4phd.eu/en/candidates-2/research-projects/ in
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, or energy storage technologies Proficiency in programming languages such as Python, MATLAB, or similar tools A research-oriented attitude Ability to work in an interdisciplinary team and interested in
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tasks relevant to the project The following experience is beneficial experience with common scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc