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software such as SPSS, R, etc.; proficiency in spatial analysis tools such as ArcGIS/QGIS or willingness to learn; a demonstrated ability and willingness to spend a good amount of time in the case study
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team using the contact information below. The Role We are looking for a diagnostic R&D scientist to be part of the Cell Models and Antibody Technology team within our Medical Devices Research Centre (MD
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and the Réglement Grand-Ducal of the 11th January 2013 (FELASA or equivalent) will be a plus. • Experience on bioinformatic analyses (DNA-Seq, (sc)RNA-Seq, ChIP-Seq) and/or R programming skills will
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to study the following references in depth, but you may look into them for a high-level impression of the style of research. H. Fokkema, R. de Heide and T. van Erven. Attribution-based Explanations
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work within the Norwegian R&D centre for Maritime Energy Transition (FME MarTrans) on climate change mitigation in the transport sector. The objective of the research is to identify mitigation strategies
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) and apply for the following programme: https://postgraduate.degrees.ed.ac.uk/index.php?r=site/view&edition=2025&id=493 with a start date of 01 September 2025 Applicants should state “Real-world quantum
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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
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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experiments. The institute has major involvement in CMS at CERN, the Belle II experiment at KEK, and several Dark Matter discovery experiments. A research group works on R&D of particle detectors for those
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should have experience and knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license