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Field
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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
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(for example Python, bash, or an equivalent language). ● At least one peer-reviewed publication in a scientific journal. Preferred Qualifications: ● Experience with free-energy or phase-boundary
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-domain battery characterisation techniques. Experience with experimental battery testing and analysis of measurement data. Experience with scientific programming and data analysis using Python, MATLAB
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to capture speech planning during comprehension. Strong programming skills in Python and/or MATLAB and/or R. Strong interest in multimodal communication, gesture, language processing and/or neurobiology
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches
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software (R, python). ● Experience in microbiological and molecular techniques such as sterile technique, DNA extraction, PCR, synthetic community design, etc. ● Experienced in designing randomized plant
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-omic data integration. Computational skills for data analysis (e.g., Python/R, workflow tools, and reproducible research practices). Prior work related to neurodevelopmental disorders, regulatory
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong