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Field
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, as well as experience in programming with Python, R, SQL, and knowledge of web technologies (HTML, CSS, JavaScript). A good command of the English language is also valued. Knowledge of tools used in
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in the CV. Additional optional skills and qualifications: Preference will be given to candidates with previous experience in data analysis, as well as experience in programming with Python, R, SQL, and
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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experience working both independently and collaboratively in interdisciplinary teams. Your excellent communication skills and programming proficiency (e.g., Python, MATLAB, R) support your ability to lead or
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted
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requirements: Solid knowledge of programming and signal processing, based on Matlab or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase