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unpredictability such as entropy. You will also investigate the robustness of these mechanisms to disturbances and assess whether transmission patterns can be learned from external observations. This position is
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, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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WDM switches and the fast control to enable novel low latency highly scalable and flat interconnect AI compute clusters. Machine learning clusters and artificial intelligence (AI) training have become
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Engineering, and Sustainable Production, Energy and Resources. We work on education and research in mechanical engineering, civil engineering and industrial design engineering. Together, we learn by making
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room to learn and develop professionally at the frontier of academic research. You will work under the supervision of Dr Burcu Özgün , Dr Giovanna Capponi , and Professor Carolina Castaldi .
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to the development of sustainable materials for the hydrogen economy. You are an independent thinker, eager to learn new experimental techniques, and enjoy collaborating with researchers from different disciplines as
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from machine learning methods to more traditional statistical and econometric techniques. We are driven by science with purpose, pushing the academic frontier by publishing at the highest level in
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international conferences on complex dynamical systems and related areas of mathematics. Besides your main research activities, you will teach one course per semester for most semesters while you are employed
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, reports and other deliverables; good analytical, writing and presenting skills; fluency in English, both written and spoken, and the willingness to learn Dutch (in case you are not a Dutch native speaker