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(bachelor and master's degree diploma) Applicants WHO are planning to complete a doctoral thesis in English and who do not have English as a first language or WHO have not completed an English language-based
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architectures, and large language models (LLMs) as powerful tools for uncovering, quantifying, and interpreting causal information flow within the brain’s dynamic networks. Your competencies Prospective
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contribute to teaching at BSc and MSc levels. Present your research at national and international scientific conferences. Collaborate with a PhD student at the Technical University of Munich working on a
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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programming languages such as C/C++, Python, Julia or similar. Experience with mathematical optimization software. Experience with machine learning packages. Excellent communication in English and interpersonal
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, conferences, and workshops. Contribute to the supervision of MSc and BSc students. Complete relevant PhD courses, academic training at DTU. Engage teaching activities related to AI and food safety. We
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Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
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and statistical concepts Proficient in English for technical writing, oral presentations, and general communication Additional experience (preferred): Very good knowledge of XAI techniques Thorough
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in catalysis Good language skills *************************************************************************** Application and Assessment Procedure Your application including all attachments must be in
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/education/admission-and-guidance. Applicants must possess skills in written and spoken academic English at a high level. If deemed necessary, the department may request that applicants document their language