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communication (oral or poster) in at least three international meetings. Computer skills: Experience exploring omics data, preferably with experience working in informatics languages such as Python or R
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/nanotechnologies, microelectronics or materials. • English language (B2 to C1). • Experience (projects or internships) linked with R&D and physical measurements will be welcome. Operational skills : • Listening
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/ Architecture or related fields or in a course that does not lead to an academic degree as part of the educational project of a higher education institution, whether integrated or not in R&D Units. Preference
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of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R) https://ibecbarcelona.eu/careers-at-ibec/jobs/ IBEC´s Commitment on equal opportunity, diversity, and Inclusion
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company, in accordance with the call for applications to the relevant UA funding programme and the collaboration agreement with the company. The successful applicant will work on the R&D project
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are also considered. Expertise using R program for statistical analysis, data entry, management and plot. Knowledge of Python for programming. Having completed a stay abroad will be valued positively
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that you have to work with large datasets, from i.e. semi-quantitative LC-MS/MS proteomics, therefore proven affinity with R is an asset. You will work here The research is embedded within the chair
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 9 days ago
to two potential referees. There is no formal closing date for applications. Please feel free to contact Prof. Dr. Thomas R. Knösche (knoesche@cbs.mpg.de ) for informal enquires about the position. The Max
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(DNA-Seq, (sc)RNA-Seq, ChIP-Seq) and/or R programming skills will be a plus. • Skills: Curiosity, rigor, perseverance, creativity, excellent time management and sense of priority, willingness to learn
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resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology