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of importance for changes in effective populations sizes and genetic diversity patterns. Qualifications Ideally you have a PhD in natural sciences with a strong research background and several years of work
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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interdisciplinary, collaborative project at the interface between nucleic-acid chemistry, DNA/RNA nanotechnology and cell biology. Your profile Applicants should hold a PhD in chemistry, molecular biology
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competencies The ideal applicant profile should demonstrate expertise in one or more of the following areas: optimization algorithms (heuristics, metaheuristics, exact methods), learning-based approaches
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk
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will work with a team of PhD-students, laboratory technicians, associate professors and project managers at DTU. Furthermore, the projects have significant industrial participation and you will often
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of Psychology is a vibrant, inclusive workplace hosting an engaged group of faculty, post docs and PhD students. The department has close collaborations with Odense University Hospital, and its research covers a
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expected to collaborate with the PhD students in the group. Development of instruments an software You will contribute to developing the experimental instruments, in particular the optical setup and the
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human