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analytics, software engineering, and security Supervising PhD students Teaching in the Bachelor's and Master's programmes of the Department of Computer Science, either in computer science or artificial
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and ultrafast phenomena in semiconductor heterostructures and quantum structures. Requirements: PhD or equivalent in physics, electrical engineering, technology or related fields. Minimum of three years
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continent in order to link real field issues with up-to-date science. The institute has attracted multidisciplinary research teams composed of food engineers, agronomists, biochemists, biologists, … etc
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of Aveiro. Jury members: Professor Pedro André Dias Prates, PhD, Assistant Professor, Department of Mechanical Engineering, University of Aveiro; Doctor Isabel Maria Alexandrino Duarte, Assistant Researcher
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of Engineering Education College of Engineering Position Overview The Department of Engineering Education (https://eed.osu.edu ) at The Ohio State University is accepting applications from candidates of all
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
complex traits. Dr Speed has developed the software package LDAK (www.ldak.org ). The position will be mainly funded by an ERC consolidator grant, aimed at finding novels ways to classify complex diseases
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Technology. The candidate will also be given opportunities for Extension teaching and oversight of specific research projects, as appropriate. Qualifications Minimum Qualification: PhD in weed science by
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procedures to the research engineers recruited for this task, based on the established annotation protocol; o Overseeing the synchronization week organized to harmonize and ensure consistency in the annotation
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qubits. Using software such as Qiskit Metal and Ansys, qubit designs will be constructed and simulated, with AI methods optimizing them to explore the trade-offs between multiple design objectives. It is
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo