27 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Free University of Berlin
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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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- Ability to work well in a team, along with strong social and communication skills - Excellent command of English, both written and spoken For further information, please contact Silke Benndorf (030-83864398
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, both written and spoken For further information, please contact Silke Benndorf (03083864398). Applications should be sent by e-mail, together with significant documents, indicating the reference code, in
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module). Preferences: - comprehensive knowledge of North American cultural studies - strong research skills and knowledge of academic libraries and academic data bases - Willingness to get acquainted with
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independently conducting academic research projects • Ability to work effectively in a team For further information, please contact Prof. Dr. Florian Zemmin (islamwissenschaft@geschkult.fu-berlin.de
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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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for light-induced dynamical processes, THz pulse emission, ultrafast spectroscopy and theory for current-induced spin dynamics. The research tasks include the development of theoretical models and computer
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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
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are to train highly skilled young mathematicians across the entire breadth of mathematics, to develop innovative application-oriented mathematics with a focus on data-driven modelling, simulation, and
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macromolecular dynamics with machine learning, statistical mechanics, molecular simulations, and experimental data. The joint project “FAIME – Flexible and Efficient AI-driven Molecular Simulation Engine” is part