52 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Cambridge" PhD positions at Forschungszentrum Jülich in Germany
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Analyze dynamical states of spiking complex neuron networks with respect to network topology and neuron parameters Development of learning rules considering the strong non-linearities of the neurons
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datasets with machine learning methods, and software development are beneficial Good organisational skills and ability to work systematically, independently and collaboratively Effective communication skills
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bonus”) amounting to 60% of one month’s salary. All information about the TVöD-Bund collective agreement can be found on the BMI website (pay scale table on page 66 of the PDF download): https://go.fzj.de
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of holiday with us KNOWLEDGE & FURTHER TRAINING: Your further development is important to us – we provide targeted and individual support, e.g. through training and networking opportunities specifically
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KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral
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): https://go.fzj.de/bmi.tvoed PERSPECTIVE: The position is initially for a fixed term of 3 years but with the prospect of longer-term employment SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International
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dynamic and highly active research field KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial