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this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert knowledge of deep
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partners and other key external stakeholders ability to assist in the supervision of research students (Honours, Masters and PhD level). Pre-employment checks Your employment is conditional upon
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: PhD in genetics, genomics, plant biology, bioinformatics, or a related field completed by the start date. Preferred Qualifications: Experience with plant genomics or crop plants Experience using high
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lithography, atomic layer deposition; thin film metals deposition, and scanning electron microscopy are considered highly desirable. Responsibilities Responsibilities include development of semiconductor device
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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, and power electronics. The team develops a wide range of materials (III-nitrides, arsenides, selenides, tellurides, oxides) and benefits from advanced growth systems, extensive electrical and optical
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telescope network). Ability to connect with other researchers in the department as well as campus-wide will also be considered positively. The applicant must have completed a PhD in Astronomy, Physics, or a
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projects within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or
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). Copy of Master’s and/or PhD thesis abstract. Cover letter (maximum 1 page). Applications should be sent via email to the Project Leader at IGiK, Dr. Przemysław Dykowski: przemyslaw.dykowski@igik.edu.pl
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DPhil/PhD students and undergraduate project students. Prior experience and expertise in transmission electron microscopy is desirable. How to apply You will be required to upload your CV and a supporting