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for materials science, and advanced optimizers for modern deep learning. The research may be conducted in collaboration with the Electronic and Photonic Materials and/or the Computer Vision Laboratory
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, genotyping, immunohistochemistry, RNA in situ hybridization and statistical analyses. Qualifications The ideal candidate should have a PhD in molecular or developmental biology, neurosciences, photoreceptor
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Department of Chemistry and Chemical Engineering , contributing to a highly interdisciplinary research setting. We seek candidates with the following qualifications: PhD in materials science, physics, polymer
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PhD thesis Degree certificate or documentation on expected PhD completion Contact information for two academic references Any other supporting documents Further Information The scholarship holder will
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ongoing research projects Supporting the supervision of PhD students and postdocs Contributing to project management and proposal writing Research environment You will be part of the Communication Systems
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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate
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for the position, applicants are required to hold a PhD (or to be completed before the decision about the employment is taken) in Ecology or related fields. The candidate must have completed the degree no more than
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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Physics Division that hosts the Langhammer Group provides further relevant information. Who we are looking for We seek candidates with the following qualifications: A PhD degree in physics. An experimental