56 developer-"https:" "https:" "https:" "UCL" PhD positions at Forschungszentrum Jülich
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). These collaborations enable practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital
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hydrogen release by means of pressure control Carrying out parameter studies Comparison of different catalyst materials Determination of the pressure dependence of the dynamic hydrogen release Development
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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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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Conducting in-situ and in-operando Raman experiments on glass corrosion Developing and constructing fluid cells with
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(„Christmas bonus“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt Further information on doctoral degrees at Forschungszentrum Jülich (including its
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offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated workflows for descriptor based microstructure reconstruction to identify
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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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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical
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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