20 machine-learning-and-image-processing-"U" Postdoctoral positions at University of Lund
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
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University | Lund University. Ready to shape the future of research? Find more reasons why Lund University and the HT Faculties is right for you here , and learn more about Working in Lund , Moving to Lund
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colleagues, supervise undergraduate thesis projects and research student projects, teach, acquire pedagogical merits and cooperate with business and society. Qualifications Requirements for the position
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interests of the department, such as research on infinite groups. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Qualifications Requirements
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orthotopic surgery. Experience with single-cell sequencing and bioinformatics. Background in tumor biology. Experience in supervising PhD students and/or undergraduate students. The assessment of applicants