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of Biology (IBL), is looking for candidates for a position as Assistant / Associate / Full Professor in Quantitative and Computational Biology or Bioinformatics in line with one or more of the leading themes
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exposome science; working knowledge of, or affinity with, bioinformatics and epidemiological methods; experience with analysing molecular data (such as metabolomics or proteomics, preferably using mass
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. Requirements The successful applicant will hold, or expect to obtain shortly, a PhD in Statistical Genomics, Genetic Epidemiology, Medical Statistics, Bioinformatics, or a related quantitative discipline
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in (1) computational biology, bioinformatics or biostatistics with experience in the field of immunology, or (2) a PhD in immunology with demonstratable experience and advanced knowledge
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research profile to further integrating wet-lab techniques (such as single-cell sequencing, -omics) with advanced data analysis, for example through bioinformatics, machine learning, or AI. Themes such as
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blood-related markers), —quantifiable indicators of physiological or pathological processes—offer a promising route for real-time physiological assessment. Advances in non-invasive sensing technologies
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specialization in Data Science (Bioinformatics, Computer Science, Data Science, Artificial Intelligence, Computational Biology) or Life Sciences with strong affinity to Data Science. Experience with different
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/principal-investigator-computat… Requirements Specific Requirements You have a PhD in (1) computational biology, bioinformatics or biostatistics with experience in the field of immunology, or (2) a PhD in
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for constellations Knowledge of ESA and industrial space development, verification and quality assurance processes Knowledge of ESA or large industrial procurement processes and contract negotiation Experience with
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subsystems (such as TT&C, PDT and ISL), as well as payload signal and data processing techniques. Duties You will report to the Head of Section and within the technical fields described above, your main tasks