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-exome/whole-genome sequencing data from tumor verus normal paired DNA, as well as of data generated with RNA-seq, ChIP-seq, CUT&RUN-seq, ATAC-seq, HiC-seq, would be a plus. The candidate should have a PhD
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, remote and cloud-based MS data, including annotation libraries as well as raw MS data. Support for, and integration of, established and upcoming MS data file formats (mzSpecLib, mzTab-M 2.0
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including D-branes, Black Holes, Gauge/string theory duality, Phenomenological String theory/M-theory; Particle Phenomenology including Physics beyond the Standard Model, Dark Matter, Axions, Higgs and
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setups ESSENTIAL REQUIREMENTS A PhD in mechatronics, including biomedical engineering, mechanical engineering, and similar disciplines Documented experience in wearable devices and/or robotics Strong
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-world applications and industrial production lines. Quondensate project aims to achieve the first proof-of-concept of Quantum Reservoir Computing (QRC) scheme based on networks of Quantum Materials (QMs
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Genomics and single-cell Genomics Sequencing platforms. The successful candidate will take on the following responsibilities: conduct CRISPR-based functional screening using patient-derived cancer tumoroids