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(if already in your possession). If you have a foreign diploma in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages
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for a postdoctoral fellow to conduct research on projects examining the architecture of the language production system and its interaction with other cognitive systems. The ideal candidate will have a
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research. Outstanding resources and equipment are provided and managed to encourage easy access and collaboration. English is the official language of OIST, and the university research community is fully
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the supervision of a senior scholar. Knowledge of commercial FEA package Abaqus and the programming language Python. The successful candidate will have a good knowledge of numerical implementation of plasticity
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, cell culture and flow cytometry in the field of immunology is a must. • Excellent communication skills with colleagues and scientists. Proficiency in English and strong work ethics (Laboratory language
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern
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certificate confirming the language level. Knowledge of the German language is not mandatory but certainly appreciated Strong analytical and independent working style Excellent teamwork and communication skills
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, Statistics, Economics, Psychology, Linguistics, and Sociology. Applicants must submit an up-to-date CV, transcript, three references, and a research statement that clearly articulates their prior research
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logical choice for its staff and students. YOUR TASKS At least 70% of your assignment will be spent on academic research. You work closely with the team involved in the ERC project DAEDALOS (https