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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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personal (marriage or civil partnership) or familial (parents, siblings, children) relationship cannot be selected as hosts. Programme information (PDF, 151 KB) Information for academic hosts Information
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”. The “Computational Methods” group focuses on the design and simulation of laser beam sources and laser processes, using numerical methods and modern artificial intelligence algorithms. To strengthen the team, we
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information, please contact Prof. Dr. Ulrike Cress via phone: +49 7071 / 979-209 or by email: u.cress@iwm-tuebingen.de . Please send your detailed written application, including a cover letter, curriculum vitae
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data
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, starting on August 1st, 2025 or later If you need further information, please feel free to contact Prof. Dr. Thorsten Schnurbusch Tel.: +49 39482 5-341 directly. What you need to know: For us, your
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assistants Your profile: PhD in social, I/O, or experimental psychology experienced in experimental research Interest in designing online interventions Profound knowledge of English Please contact Prof. Dr
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Applications should be sent to the Director of the GWZO (Prof. Dr Maren Röger, Reichsstr. 4-6, 04109 Leipzig) by 30 September 2024 with the usual documents (CV, certificates, letter of motivation), quoting