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Transport. Within each of these fields, research programs are developed by our scientists and regularly evaluated by renowned international experts. Their evaluation forms the basis for the program-oriented
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(e.g., GIS, system dynamics, statistical programming) #strong knowledge of qualitative methods in empirical social research #experience working in interdisciplinary and international research projects is
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect the ability
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experice in machine learning, mathematical methods, and mathematical analysis Programming experience Teamwork and ability to work in an international environment Good communication skills Profound knowledge
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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
HIFMB contributes to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular topic (6, Marine and Polar Life). The cohort work will directly
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
Marine Governance. Further details: As a Helmholtz Institute, the HIFMB contributes to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular
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. Further details: As a Helmholtz Institute, the HIFMB contributes to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular topic (6, Marine and
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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems