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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition in animal agriculture
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organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find this exciting. You should be scientifically curious and
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teaching assistant. The Department of Mathematical Sciences has strong research groups in many areas of mathematics, and has an active postdoc and visitors' programme; we refer to our homepage for more
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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Curriculum vitae PhD-diploma Research plan – description of current and future research plans If available, description and documentation of teaching and supervision experience and qualifications Complete
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for short and long term propogation Programming, troubleshooting and implementing automated liquid handling protocols on a variety of robots Developing protocols on demand to automate a wide range of both