The Max Planck Institute for Social Anthropology is one of the leading centres for research in social anthropology. Common to all research projects at the Max Planck Institute is the comparative analysis of social change; it is primarily in this domain that its researchers contribute to anthropological theory, though many programmes also have applied significance and political topicality. Postdoctoral Fellowships — to download. Applications addressing other themes will also be considered. Good research skills, the ability to work in a team, and communication skills with good written and spoken English are required.
Rencontre Annuelle Musulmans Nord
6eme Ramn Rencontre Annuelle Des Musulmans Du Nord – nutriologia-ortomolecular.info
Drawing on fields as diverse as archaeology, geography, environmental studies, history, epigraphy, and heritage, the series brings scholars from different disciplines into dialogue and opens up new approaches to our understanding of a region that has for millennia been at the crossroads between different cultures and civilizations. The series takes an open and exploratory approach to a geographical area that encompasses Iraq, Syria, and Southern Turkey, and which forms a bridge linking Mesopotamia to the Mediterranean, while its broad time frame encourages a focus on long-term change, and a reappraisal of established chronologies for this region. Author information Open Access Our Partners. For more information, please contact this series' Publishing Manager. In case a price is not available, please contact us for a quote. Tell Beydar, Three Seasons of Excavations
6eme Ramn Rencontre Annuelle Des Musulmans Du Nord
Final ms. Draft ms. BOX 3: Book Drafts.
It hosts numerous centralised data resources, which are critically important for academic and commercial life science research. The volume and diversity of life science research data are growing rapidly, partly due to the rise of new technologies, such as single-cell sequencing, and cryo-electron microscopy. Open, freely available research data is an important driver for new discoveries, but scientific data sharing requires, among other things, robust data resources. Databases and tools should be able to collate, store and facilitate the analysis of vast amounts of data produced around the world.