223 phd-mathematical-modelling-population-modelling Postdoctoral positions in Germany
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- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- University of Duisburg-Essen
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Expertise in spectroscopic measurements and/or scanning probe microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a team Background in electronic
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random
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part of the ERC project DYONCON. You will work in a multidisciplinary and international environment, in close collaboration with the group and our external partners. Requirements: PhD and Master's degree
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of results in peer-reviewed scientific journals and presentation at conferences Your Profile: Passionate and curiosity-driven candidate with an PhD degree in Physics, Nanoscience, Chemistry, or related fields
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
capabilities of future marine biodiversity and its role in maintaining key ecosystem functions such as productivity and strategies for sustainable management of selected marine ecosystems. Your Profile PhD in a
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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will work with PhD students and a fellow postdoc. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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, behavioral, experimental and/or applied microeconomics or other related fields, and you have completed your PhD by job start or are close to completing it. You have already proven your relevant knowledge and
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) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or