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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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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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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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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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habits and duration of grazing under contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals This position is within the Quantum Information Processing research
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assays, flow cytometry, and gene editing techniques Collaborate closely with biologists, clinicians, and data scientists within a highly interdisciplinary environment Contribute to publications and
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ability to work in an interdisciplinary manner Creativity and a strong spirit of discovery to develop new research approaches Experience in planning and conducting experimental studies Very good data
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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will perform live-cell imaging experiments and analyze data You will collaborate with other members of the team in advance microscopy and super-resolution techniques You will develop leadership skills