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the research); Excellent oral and written communication skills, especially in English (CEFR C1); The ability and commitment to carry out high level research and publish in renowned peer reviewed international
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methods have excellent oral and written skills in English (requirements: see application format) Have Dutch language skills, level B2 minimal Current master students are welcome to apply. However
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University and present your results at (inter)national scientific meetings; participate in the Faculty of Science PhD training program; assist in teaching Bachelor and Master’s students; co-supervise and
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MSc programme grade transcripts: They should verify the candidate's educational qualifications and academic performance. 4. Official proof of English proficiency: See full description of the conditions
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: They should verify the candidate's educational qualifications and academic performance. 5. Official proof of English proficiency: See full description of the conditions and exemptions on the programme page 6
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of the Open Competition Domain Science-M programme (Twenty-one innovative research projects awarded through Open Competition Domain Science-M programme | NWO - https://www.nwo.nl/en/news/twenty-one-innovative
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(NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English communication skills and an interest in interdisciplinary collaboration. Our
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
or phosphates is desirable Affinity with biological chemistry High motivation for interdisciplenary research Excellent command of written and spoken English A strong teamwork mentality Description of organisation
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university education (bachelor and master programme) was English, or; – scoring at least 100 on the TOEFL iBT test or 7.5 on the IELTS test. Two (academic) reference letters, preferably from a thesis
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part