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-generation AI models of gene regulation and disease progression. Our work is redefining Parkinson’s disease biology and enabling translational breakthroughs. The role Develop deep learning models across genome
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experiments; analyze and interpret results of experiments; write papers for publication; supervise bachelor, master and PhD student projects; present data at local, national and international scientific
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characterization laboratory, advise junior group members and support short term industrial contract. Postgraduate (PhD) in Physics, Materials Science or Engineering, or be working towards one, or equivalent
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or soon hereafter. The position is available for a period of 16 months. Department of Materials and Production (MP) is a wide-ranging research and educational environment at Aalborg University
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computational approaches to chart and understand the gene regulatory networks that are active in blood cells in health and disease. The successful candidates will have a PhD in Bioinformatics, Computational
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of an independent scientific career. Requirements PhD in Neuroscience, Bioinformatics, Computational Biology, or related field Proven track record in relevant techniques for the position applied Proficiency in
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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of environmental degradation, and make contributions to the medical humanities, environmental history, and global history. The project team will develop an innovative approach which will consider humans, animals
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of environmental degradation, and make contributions to the medical humanities, environmental history, and global history. The project team will develop an innovative approach which will consider humans, animals
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field