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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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, particularly in the context of wave equations. Proficiency in numerical implementation and computational methods will be appreciated. Candidates with a PhD in semiclassical analysis who are keenly interested in
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, please contact Prof. Dr Janne Fengler at Your profile Excellent PhD in Educational Sciences, preferably with reference to one of the following subject areas: experiential education / outdoor education
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together world-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. It is located in
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Provide support in grant writing Perform other tasks within the framework of this position For further information, please contact Prof. Paul Wilmes: E-mail: Telephone: (+352) 46 66 44 6188 Your profile PhD
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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meetings For further information, please contact Assoc. Prof. Carole Linster (email address: ). Your profile PhD degree in molecular biology, cell biology, biochemistry, genetics, or another similar life
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multidisciplinary team to push the boundaries of plasma physics and computational science. The position holder will be required to perform the following tasks/will do research on the following topics: Contribute
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together a multidisciplinary team to push the boundaries of plasma physics and computational science. The position holder will be required to perform the following tasks/will do research on the following