632 programming-language-"The-Netherlands-Cancer-Institute"-"The-Netherlands-Cancer-Institute" positions in Denmark
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evaluate the importance of structuring the foods of the future. A high level of verbal and written communication in English; Practical abilities to carry out experimental research, and excited to develop
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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qualitative interview studies, surveys, register data, or experiments. The teaching of the department is very diverse across programs and areas and largely falls within the four research areas of the department
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chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation Parkinson’s Disease Research Center PACE is a newly
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to contribute to a collaborative, interdisciplinary research environment Are eager to learn and explore new ideas at the intersection of ML and optimization Can program efficiently in one or more languages
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research plan, the grade of the assessment and the impressions during a prospective job interview. Furthermore, the applicant’s expected level of contribution to the department’s further development will be
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Aarhus University, Denmark - an international top-100 university - has made an ambitious recruitment plan to expand the Department of Electrical and Computer Engineering. Therefore, the department
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business
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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics
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proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is