128 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" positions at University of Vienna
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skills, including MS Office and other programs e.g. photoshop High-resolution confocal imaging experience Basic programming skills Excellent knowledge of Drosophila genetics Very good ability to explain
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the main research areas of the group (digital transformation, sustainable and healthy consumer behavior, psychology of brand management) Teaching experience Experience in programming experiments Excellent
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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teach seminars supporting students with their Bachelor’s thesis as well as various (including research-led) seminars within the Master’s programme (e.g. seminars supporting students to develop a thesis
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within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal). You will take on administrative tasks, particularly in the administration of teaching. We expect you to keep
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spintronics are highly desirable. Demonstrate strong programming and experimental research skills. Excellent knowledge of English. Advanced knowledge of German is an advantage. Team player and high social
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, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of noncoding RNA Proven ability to publish in leading international journals Excellent communication
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programs, or gender and diversity in educational contexts. Support will be provided for the writing of a cumulative habilitation thesis. Applicants should be able to work well in a team and have strong
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, Bioinformatics, Chemical Engineering, Systems Biology, or a related field. Good programming skills in Python, R, or similar languages. Experience with mathematical modeling, process optimization, or AI methods is
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic