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English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD
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machine learning framework that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenomic features, and three-dimensional (3D) genome organization—to identify
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education. Counselling is a central component of special needs education and contributes to promoting participation, inclusion, learning, and well-being among children, young people, and adults with special
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transcription factor (TF)–DNA interactions, epigenetic features, and three-dimensional (3D) genome organization—to identify functional long-range gene regulatory interactions in cancer. The candidate will work
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interpretable machine learning framework that integrates diverse biological data—including transcription factor (TF)–DNA interactions, epigenomic features, and three-dimensional (3D) genome organization
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transcription factor (TF)–DNA interactions, epigenetic features, and three-dimensional (3D) genome organization—to identify functional long-range gene regulatory interactions in cancer. The candidate will work
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microfluidic/organ-on-a-chip systems and bioprinted models. A central component of the project will be the investigation of cellular communication through secretomics analyses, including extracellular vesicles
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central component of special needs education and contributes to promoting participation, inclusion, learning, and well-being among children, young people, and adults with special educational needs. Research
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to work with microfluidic/organ-on-a-chip systems and bioprinted models. A central component of the project will be the investigation of cellular communication through secretomics analyses, including
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’ educational programme . The PhD programme comprises a training component corresponding to 30 ECTS, amounting to one semester. In total, this means that 2.5 out of four years are allocated to working