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Field
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institutional backing, students gain real-world experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication
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-structured interviews (e.g., SCID). Knowledge/proficiency with statistical software (e.g., SPSS, SAS, STATA, MatLab, Python), and database management (e.g., developing databases in REDCap, Microsoft Excel
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, immunoblotting, RNA extractions, RT-qPCR . The candidate is expected to be familiar with standard software (MS Office Suite, Adobe Suite, Statistical and Graph Software packages i.e. Graphpad Prism) Ability
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, including the application of advanced statistical methods such as survival analysis and longitudinal data analysis. Proficiency in statistical programming and data management using software such as SAS, R
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, registration, and anomaly detection. 6. Experience in software system engineering and architecture design for AI-based medical applications. Ability to develop immersive, user-friendly interfaces tailored
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research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g., evaluation of large-scale achievement tests, and
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methods is a plus Programming experience in MATLAB and/or Python Familiarity with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain
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Job related to staff position within a Research Infrastructure? No Offer Description Job description AI is rapidly becoming the primary author of the world's software. Today's models generate code at a
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
publishing and presenting scientific work Experience with programming and software development platforms (GitHub) We expect: Independent and initiative-driven work style. Structured and goal-oriented thinking
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, representational analysis, or computational cognitive neuroscience. Clinical neuroscience applications, including neuropsychiatric, neurodevelopmental, or neurodegenerative disorders. Open-source software