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community. We're committed to attracting, retaining, and promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments. Applications close 7 May 2025 11.00pm AEST (R-50566
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statistical software (e.g., SPSS, R, or SAS) and familiarity with research databases. Excellent communication and interpersonal skills are essential. High level of motivation, attention to detail, and a
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the link "Apply for this job". The following documentation must be uploaded electronically: Certificates with grades Master’s thesis References Academic work and R&D projects, as well as a list of these An
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): Up to KRW 100 million per year - Additional salary support may be available when securing new research projects (for participation in and execution of other R&D projects related to the DGIST Global
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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, neuroscience, medicine, or similar Experience as clinical psychologist and with structured clinical assessments Expertise in statistical analysis using R or similar Experience with big data analysis with high
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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obtain binding data and high resolution crystal structures (Espeland LO, Georgiou C, Klein R, Bhukya H, Haug BE, Underhaug J, Mainkar PS, Brenk R. An Experimental Toolbox for Structure-Based Hit Discovery
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integrated biopharmaceutical team across External Innovation and Partnering, R&D, Manufacturing and Commercial operations collaborates. With Ipsen’s footprint in Cambridge, as a North America headquarters in
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techniques for screening plasmid libraries, such as phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary