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Field
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techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with
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optimization Signal processing and general communications background Programming skills in MATLAB and/or PythonGood writing and oral presentation skills, in English Eligibility requirements of MSCA: Research
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Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science
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. Demonstrated hands on experience in inverter design, control, and experimental testing, ideally at high frequency. Experience with modelling and simulation tools such as MATLAB/Ansys/ COMSOL (desired) Strong
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or converter design. Demonstrated hands on experience in inverter design, control, and experimental testing, ideally at high frequency. Experience with modelling and simulation tools such as MATLAB/Ansys/ COMSOL
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, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English - essential for data analysis and communication with
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researching the auditory midbrain (inferior colliculus). Detail-oriented, quantitative mindset and experience with scientific programming (Matlab, python, or R) is critical. Strong organizational, leadership
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experience with solid-state device/materials. Proficiency in data processing software such as Origin, JMP, Mathematica, MATLAB. Good communication skills including oral and written. Strong work ethics
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Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management