53 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" research jobs at Leibniz
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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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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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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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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
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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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CRC RESIST Phase II program, creating a superb scientific network. RESIST is coordinated by the University of Duisburg-Essen with the participation of the Ruhr-University of Bochum, Christian-Albrechts
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articles (short reports, economic policy articles or academic papers). Your Profile Enrolled in a bachelor's degree program in economics or a related subject; or enrolled in a master's degree program with a
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, SimBA) Experience in animal experimentation (FELASA or equivalent is a requirement) Expertise in molecular biological and advanced imaging (confocal and fluorescence) techniques and analysis programs
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ