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qualifications The successful candidate will be expected to lead an ambitious, and internationally competitive research program that advances the frontiers of single-cell technologies, with a focus on disease
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Materials, Culture and Heritage (MCH) is the Research Programme within the Department of Archaeology and Heritage Studies, at the Moesgård Campus. We are recruiting a Student Assistant
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. You will be assessed against
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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred
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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred
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transcriptomics. You possess strong programming skills in Python, R, or another relevant language. Your experience includes working with bioinformatics tools and databases, as well as multi-omics data integration
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the experimental team co-supervise BSc and MSc student projects As part of the Danish PhD program, you will also take PhD courses, participate in teaching, conduct an external research stay, and disseminate your
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professional education seminars for fellow veterinarians in primary practice, and an international postgraduate master’s program within Companion Animal Clinical Sciences (www.cacs.ku.dk ). Your Job You will
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dedicated to the scientific project. Excellent written and oral communication skills in English. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate