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further opportunities for interdisciplinary training. For more information about the research and study program, visit: https://www.lai.fuberlin.de/en/temporalities-offuture/index.html Job description
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to design and conduct experiments at various scales from laboratory manipulations of animal plant-soil systems including micro and mesocosms under varying environmental conditions, to large field-scale
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. Further information can be obtained from Dr. Béla Majorovits (email: bela@mpp.mpg.de
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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-3972, who will be happy to help. Our recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future. More information about
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project meetings Managing big biodiversity datasets, including quality assurance/quality control and methods for automation Analyzing spatial and temporal biodiversity data, and accompanied environmental
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 27 days ago
(imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D diffusion-based single-molecule sensors (the candidate with theoretical knowledge and
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis
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. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of
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and in a team. For further information, please contact Mr. Prof. Dr. Lars Heinke (lars.heinke@fu-berlin.de / 030 838 68107). Applications should be sent by e-mail, together with significant documents