98 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"P"-"Inserm"-"https:" positions in Austria
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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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Chemistry (DoSChem) - Austria’s largest doctoral training program in chemistry. DoSChem brings together more than 200 doctoral students and over 50 PIs, fostering interdisciplinary and curiosity-driven
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(DoSChem) – Austria’s largest doctoral training program in chemistry. DoSChem brings together more than 200 doctoral students and over 50 PIs, fostering interdisciplinary and curiosity-driven research
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programs at the Faculty of Psychology. You will be responsible for academic teaching for an average of 7 semester hours per week and design lectures, Seminars, and other teaching Formats (particularly
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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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Programme in Slavonic Studies Several years of independent teaching at a post-secondary educational institution in the field of language training for Bosnian/Croatian/Serbian Excellent knowledge of German as
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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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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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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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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