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well as strong teamwork, communication and organisational skills Desirable: thematic alignment with issues of social reproduction, gender or organisation; experience in securing external funding; teaching
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are both required and supported. The position also involves teaching obligations (maximum 4 semester-hours (i.e., 3 in class presence hours) /week, seminars aligned with own research and methods skills
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Bioinformatician for the following diverse and exciting range of responsibilities: Job Duties: Independent research activities (aligned with the Institute’s research focus) and participation in the Institute’s
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for the following diverse and exciting area of responsibility: Job Duties: Independent research activities (aligned with the Institute’s research focus) and participation in the Institute’s publication
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sequencing etc.) Expertise in at least one lineage of land plants (i.e., a taxonomic focus) Experience with at least one coding language or a strong background in statistics Experience with high-performance
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its Autumn Call 2026, offering multiple funded doctoral positions in total. Your personal sphere of influence: We are looking for international early-career researchers interested in pursuing doctoral
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Vienna Doctoral School in Cognition, Behavior, and Neuroscience - Doctoral Positions (AUTUMN CALL 20
origins and development. Our PhD program is tailored to individual career tracks and includes continuous mentoring schemes, multiple opportunities for national and international scientific networking, and
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Vienna Doctoral School of Microbiology and Environmental Science - Doctoral Positions (AUTUMN CALL 2
doctoral positions in the Vienna Doctoral School of Microbiology and Environmental Science as part of its Autumn Call 2026, offering multiple funded doctoral positions in total. Your personal sphere
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and implement a communication strategy that aligns with ViCAS’s mission and engages local and global academic communities. You will shape narratives about our fellowship programmes, the academic work
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a sound foundation in the development of fundamental methods, for example language modelling, or efficiency, or model alignment, or bias, fairness, and explainable AI (XAI), or evaluation and