54 parallel-computing-numerical-methods-"Simons-Foundation" positions at Nature Careers in Austria
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team! Your personal sphere of influence: The Konrat lab is developing NMR spectroscopy methods for structural cell biology and is looking for a PhD student to join the team. The employment duration is 3
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-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and climate, and topics could include interplay
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, physiological, and 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
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is an asset. Very good knowledge of quantitative and/or qualitative social science research methods. Empirical research experience, particularly with fieldwork in the Global South, is an asset. Strong
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The AITHYRA-CeMM International PhD Program in AI/ML, Molecular Technologies and Systems Medicine Do you want to work in a creative, free-minded scientific environment at the interface of life
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welcome applications from all areas of the life sciences, but especially those in tissue-scale and developmental biology, chromatin, RNA and chromosome biology, and synthetic/computational methods
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science methods and their applications would constitute a fitting addition to the profile. Interest in applications in the faculty's research fields, in cooperation beyond the department and contributions
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Master's degree or Diploma, in the field of Law Basic experience in academic writing and with research methods (e.g. seminars) Didactic competences / experience with e-learning beneficial IT user skills: MS
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research methods Didactic competences / experience with e-learning Excellent command of written and spoken English and German(B2 Level) IT user skills: MS Office You should be a team player with high social
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Analysis and Machine Learning. The research areas cover a wide range of challenging topics such as (infinte dimensional) stochastic analysis, affine and polynomial processes, rough paths, signature methods