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Field
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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. These platforms will not only drive the next phases of R&D in solar cell and optoelectronic materials development but could also be incorporated as future in-line diagnostic tools on manufacturing lines. We
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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outline your general research interests. The position will remain open until it is filled. Selected Publications: 1) R. Kürsten, J. Mihatsch, T. Ihle, Emergent flocking in mixtures of antialigning self
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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. Required Qualifications A PhD or doctorate is required GIS, and experience in statistical modeling using SAS or R Location Hybrid/Flexible Work Arrangement – Philadelphia, PA Additional Information
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
of the applicant's existing skills and expertise with the requirements mentioned above. Please note that by applying you consent to share your application with Julie MOUZON, R&D Director from Circuit Foil Luxembourg
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from partisan sorting: Evidence from Finnish Twittersphere. Global Environmental Change, 71, 102348. Aledavood, T., Luong, N., Baryshnikov, I., Darst, R., Heikkilä, R., Holmén, J., ... & Isometsä, E
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative