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the disease where co-evolution is defined by the cross-talk between cancer-cell intrinsic drivers (mutations/epigenetic reprogramming) and extrinsic factors (the cellular composition of the tumour
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of research. A working environment with teamwork, close working relations, network activities among young scientists and social activities. A workplace characterized by professionalism, equality and a healthy
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relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Gustav Wieds Vej
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relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Gustav Wieds Vej
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. Experience in building research networks, and communication across disciplines and professions are considered important, due to the research collaborative- and cross-disciplinary focus. Considering the wider
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resistant and susceptible plants. Develop an AI-assisted image-based phenotyping pipeline to automatically quantify aphid performances on the plants. This software will automatically count for aphids and
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networks, experience within AI or technology ethics and international research stays. Danish skills will be considered as an advantage. Work environment Active participation in the department’s daily
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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
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lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by
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combination with tumor characterization, revealing tumor networks in prostate cancer progression. Key findings will be validated on human samples, and their functions will be assessed in vivo through CRISPR