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programming languages such as R or Python Experience with multiome data analysis (e.g. methylomics, Lipidomics, Proteomics, ATAC-seq) Proven experience with advanced computational methods such as deep and
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of measurement and control technology or programming skills, preferable in python First experience with modern methods of material characterization High motivation, initiative, creativity, and ability to work in a
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development Interesting, varied and challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM
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of a company pension scheme as well as an allowance for capital-forming benefits A varied further education programs, sports activities, joint leisure events Health days and company integration
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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, master, and/or Ph.D. programs is possible. SAFE seeks to increase the share of women in research and thus strongly encourages female scholars to apply. We are also committed to promote the inclusion
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company pension plan with VBLU Diverse opportunities and support for professional and personal development for academic or non-academic career development Excellent research environment and networking
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source projects) and eagerness to learn. Applicants should reference prior programming experience, ideally linked to specific projects. We expect: ability to work independently and on your own initiative
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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by