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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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electrical engineering, automation, computer engineering, or a closely related discipline, with proven expertise in the operation and control of intelligent energy systems. Experience and skills Solid
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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degree in molecular biology, cardiovascular medicine, biology or computer science Strong background in bioinformatics, mass spectrometry, epigenetic and NGS approaches preferred At least one first-author
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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, establishing new methods Writing publications on the topic and presenting at international conferences and meetings Your profile: Completed doctorate in natural sciences and enjoyment of basic and translational
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models, multi-omics analyses (e.g., RNA-seq, ATAC-seq, scRNA-seq, scDNA-seq, WES/WGS, targeted NGS, DigiWest), a broad spectrum of molecular and cellular biology techniques, biochemistry and biophysics
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: ausschreibung10-25@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11 37077 Göttingen