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the EU Research Framework Programme? Other EU programme Reference Number PNRR CF 64/2023 Is the Job related to staff position within a Research Infrastructure? No Offer Description Bachelor's degree in
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reliability Computational Neuroscience Scientific communication Excellent command of English Experience in human data analysis (psychophysics and EEG/MEG specifically) Python Where to apply E-mail laura.dugue@u
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23 Apr 2026 Job Information Organisation/Company Sveučilište u Zagrebu, Filozofski fakultet Department Human Resources Research Field Language sciences » Philology Researcher Profile Recognised
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: language learning/acquisition, interpretability/mechanistic analysis, human-like modeling, or formal language theory Excellent programming and data analysis skills (Python required; familiarity with PyTorch
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of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and
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basic programming using R, Python, MATLAB, or equivalent. Strong written and oral communication skills, as evidenced by peer-reviewed publications and scientific presentations. Preferred Qualifications
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at the interface of GWAS, single-cell multi-omics, and tissue biology. The successful candidate will own a research program centered on connecting non-coding disease variants to their cell- and context-specific
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programming skills in for instance Python, Matlab or another programming language is a requirement. Experience with geodynamic and/or landscape evolution modelling is an advantage. Experience with tectonics
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for the employee and qualified family members; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information
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paper/pencil and computerized neuropsychological examinations and surveys to research participants in English and Spanish. Score neuropsychological evaluations. Document all relevant data used in multiple