23 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" 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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(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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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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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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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
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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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application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection.
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- Exemplary concept for the course Hydraulic Methods / Pumping Tests - Details of at least three references For further information, please contact Prof. Dr. Nadine Goeppert (nadine.goeppert@fu-berlin.de / 030
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supporting careful evaluation and organization of experimental data, preparation of figures/presentations for internal discussions and reports. Desirable: - Enrolled Bachelor or Master student in biochemistry
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classical information. Your project within the Bolotin research group will be to develop a new class of 2D material heterostructures with on-demand tunable chirality. To accomplish this, you will develop a