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for MS and metabolomics data analysis and member of the Bioconductor Community Advisory Board. The Institute for Biomedicine is home to an international and interdisciplinary team of scientists, students
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boundaries of ICT electronic devices and systems and pave the way for the development of novel Quantum Technologies. Within the research team, your main responsibilities will be: To synthesize the transition
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communication skills Strong problem solving attitude High motivation to learn Spirit of innovation and creativity Good in time and priority management Ability to work in a challenging and international
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, communication algorithms) Parallel programming models and runtimes for emerging architectures (e.g., processing-in-memory, SRAM-centric) Performance modelling & optimisation of ML algorithms on unconventional
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pipelines focused on disease evolution prediction; - Interpreting results and communicating findings effectively through manuscripts, presentations, and reports, contributing to high-impact publications
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of the RforMassSpectrometry initiative, developer and maintainer of several R packages for MS and metabolomics data analysis and member of the Bioconductor Community Advisory Board. The Institute for Biomedicine is home to
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hands‑on cell culture experience (≥3 years) Strong publication record commensurate with experience; excellent scientific writing and communication skills in English Solid grasp of experimental design and
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advantage, but not strictly necessary Soft skills: curiosity and active learning critical thinking and problem-solving time management adaptability and flexibility effective communication in cross-cultural