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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 8 hours ago
forwarded for direct admission. In this case, you can submit your application at any time. https://phd.cs.rptu.de Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: This is part of your personality: Above-average MA in
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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hematology ● Knowledge in clinical analysis ● Knowledge in statistics ● Knowledge and experience in handling biological samples ● Knowledge of activities inherent to AEQ programs ● Good computer skills from
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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sensory science, psychology, and human–computer interaction, and receive training in experimental design, immersive protocol development, and advanced analytics. Industry engagement includes placements with
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must provide proof of excellent English skills: TOEFL 550 (paper-based), 213 (computer-based), 79 (Internet-based) or equivalent. Application deadline The application deadline has not yet been determined
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? This project provides extensive interdisciplinary training from subject experts and industry, including in behavioural experimental design and statistical modelling; computer vision and AI techniques