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using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C++ or Python is desirable. Excellent verbal and written
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biochemistry, medicinal chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https
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or Python. Responsibilities include teaching two undergraduate courses in each of Lawrence’s three ten-week terms. The successful candidate will be the third statistics and data science faculty member in
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environment who will supervise the PhD and collaborating with the rest of the Doctoral Network fellows. Where to apply Website https://cv.newton-6g.eu/ Requirements Research FieldEngineering » Electrical
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integration. Specific Requirements Required profile: - PhD in genomics, molecular biology, bioinformatics or related field. - Strong experience in NGS analyses (WES, RNA-seq). - Bioinformatics skills (R, Python
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doctoral PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/136664 Requirements Specific Requirements Strong background in chemistry, physical chemistry
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science with microbial genomics and chemoinformatics. The research will be done in the research group of Erik Kristiansson (http://kristiansson-research.se ) at Mathematical Sciences, Chalmers University
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events. Basic Qualifications BSc or/and MSc in Computer Science, Engineering, ICT or related fields. Advanced Python programming coding skills; experience with testing frameworks (e.g. Pytest). Advanced
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teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and
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level. For analyses and model development, you will work with programming languages such as R, Python, and GAMS. You will work with existing micro‑economic simulation, optimisation, and emission models