93 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "IMEC" positions at UNIVERSITY OF VIENNA
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assistant) Excellent knowledge of quantitative methods (including competencies in the application of SPSS or R) Excellent communication skills and proficiency in English Experience in programming experiments
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. The Department of Romance Studies is part of the Faculty of Philological and Cultural Studies. It offers Bachelor’s, Master’s and PhD degree programs in five Romance languages and teacher-training courses
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research project dedicated to experimental quantum foundations and indefinite causal order. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months
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vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching experience (if available) ideas for a prospective
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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skills Very good knowledge of Linux, Windows, and macOS Very good programming skills, e.g., in Python, Matlab, C/C++, or Java Ability to work in a structured, goal-oriented, and independent manner
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experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! How to apply: Application documents should include: letter of motivation including time plan for doctoral
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low-level programming languages such as R and Python. Strong communication, data presentation, and visualization skills. Therefore, English is required, and German is an advantage. Ability to work
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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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skills in handling large-scale raw data and long-term data preservation Experience with database structures and data repositories for omics data Strong programming skills (at least in Python), familiarity