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submitted. The project requires extensive knowledge on sponge taxonomy and morphology, as well as good knowledge of the scanning electron microscope. Those who have obtained a PhD degree three years or less
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electronically excited states. This research involves qualitative electronic structure theory, quantum chemical computations, and experimental investigations within the research group as well as in collaborations
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collaboration with Professor David Sumpter and the Beijer Laboratory for Artificial Intelligence Research. Requirements PhD degree in machine learning, deep learning, computer vision or another nearby and
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interests, and why you are suitable for this position. CV (max. 2 pages). Publication list. Copies of your PhD diploma and other relevant merits. Names and contact details (address, email address, and
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making algorithms. The position might also include teaching, maximum 20 %. Requirements: PhD degree or a foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer
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degree, your course grades and other relevant qualifications A short description/summary (of a maximum of 300 words) of your doctoral thesis If available, an electronic version of your PhD thesis (or web
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and suitable for this position, including what project you are interested in (max 1 A4 page in English) A list of publications A copy of your PhD certificate if available Contact details (name, email
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, including courses taken during PhD studies. A list of publications. Up to five selected publications in electronic format. A research statement describing your past and current research (max 1 page) and a
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-disciplinary and international network between PhD students, postdocs, researchers, and industry. Project description The project aims at fundamental understanding of properties of solar cell materials as a