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Field
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conducting experiments, programming experimental tasks in platforms such as oTree, analysing experimental data using statistical and econometric software (e.g., Python, R, Stata), and reporting experimental
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Applicants with an interest in human
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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Programming skills (e.g., Python, R, C/C++) Knowledge of workflow management systems (e.g., Snakemake) is beneficial High motivation for scientific work and willingness to contribute to an interdisciplinary
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or interest in AI/ML, data analytics, digital twins, or cyber-physical systems Good programming skills (e.g., Python, C++, or similar) Ability to work independently and as part of an international research team
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, provided they have advanced training in methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid
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demonstrating relevant programming experience (e.g., in C++, Python, or Java) (if available) If the thesis has been recently submitted, a draft may be attached. Names and contact information of three relevant
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have experience in academic writing. • You should have experience with the usual tools for advanced experiments: programming experience: Matlab, Python, LaTeX. • You have excellent command
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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Knowledge of sodium- or lithium-ion batteries Experience with electrochemical methods Prior experience with data analysis and programming (e.g. Python or Matlab) Experience working in industrial