27 data-"https:"-"https:"-"https:"-"https:"-"IMEDEA-CSIC-UIB" positions at Free University of Berlin in Germany
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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories
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The sociology department at the John F. Kennedy Institute teaches and studies the political economy of the United States in comparative and historical perspective combining data-driven computational
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-harmonics beamline and will be involved in electronic data acquisition and data evaluation. For further qualification, you’ll be given the opportunity to undertake doctoral research and are expected
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) For further information please refer to Prof. Dr. Max Steinhardt (economics@jfki.fu-berlin.de ) Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF
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clinical data, and collaborate across mathematics, immunology labs, and public health institutions. We encourage candidates working on mathematical or computational models for immune system, infection
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supervision of research projects in the field of veterinary virology • Acquisition of third-party funding • Dissemination, presentation and publication in peer-reviewed journals of scientific data • Independent
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theoretical physics - excellent knowledge of theoretical condensed matter physics - Experience with Latex, Wolfram Mathematica, Python For further information, please contact Dr. Maxim Breitkreiz (breitkr
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(if applicable), current transcript of records, employment references (if applicable) For further information, please contact Laura Nassori (ag-globalisierung@geo.fu-berlin.de / 030 83868295). Applications should
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research focus on collecting new data through excavations and survey campaigns in Germany, South-Eastern and Eastern Europe, and neighbouring regions of Eurasia, and on the scientific evaluation
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animals. Our strategy will allow us to compare stress responses and behavioural data between different species and classes of pathogens, leading to important synergies by using standardised methods