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Field
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valuable. Opportunities are available for teaching training and experience. The candidate selected will contribute to the School’s world-class research and software development efforts and have the
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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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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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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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, representational analysis, or computational cognitive neuroscience. Clinical neuroscience applications, including neuropsychiatric, neurodevelopmental, or neurodegenerative disorders. Open-source software
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. These skills include project management, critical thinking, software competency, time management, creative problem-solving, team-player and good communication. Lastly, the candidate should be proficient in
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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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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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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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, 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