132 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"FEMTO-ST" positions at University of Vienna
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areas. Your future tasks: Successful candidates will actively participate in the training of archivists, further develop the training program in consultation with the archives, coordinate external
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neurobiological bases, studying how the brain maintains or changes functionality over time, and probing its evolutionary origins and development. Our PhD program is tailored to individual career tracks and includes
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Biocenter PhD Programme Experience with RNA sequencing data from complex tissues (ideally including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High
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city with a high quality of life an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in
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in student supervision This is part of your personality: Doctoral/Ph.D. program (must be completed by the time of employment) Subject-specific expertise Methodological competencies Didactic skills
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Education and is part of the doctoral program "Educational Innovation Needs Educational Research." As a University Assistant Praedoc, you will join the research team led by Assoc. Prof. Marko-Lüftenegger
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Education and is part of the doctoral program "Educational Innovation Needs Educational Research." As a University Assistant Praedoc, you will join the research team led by Prof. Susanne Schwab (Chair
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who see university teaching as an interesting and challenging career field. Requirements for application are: Completed Master's/Diploma or Teacher Training Programme in Slavonic Studies Several years
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an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic
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Neural Networks (PINNs), Neural ODEs, Bayesian learning, and system modeling and simulation Strong background in numerical methods and machine learning Good programming skills, preferably in Python