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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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Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and
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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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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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. 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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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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. Strong experimental and problem-solving skills A proactive mindset and the ability to work independently and in teams Excellent communication skills in English (written and spoken) You must have a two-year
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societal contexts in which firm and government activity is situated. EGB delivers research-based teaching into undergraduate and graduate teaching in programs such as International Business, International
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activities of the Department. The chosen applicant will be required to participate in the assistant professor program at CBS on teaching principles and methods in order to fulfill the pedagogical requirements
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School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is available from 01 January 2026 or later. You can submit your application