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to candidates with degrees in Physics, Electrical Engineering, Mechanical Engineering, Optics and Photonics, or other closely related disciplines relevant to TISTEF research by the start of the appointment. A
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Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria
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institute aimed at elucidating the mechanisms of neurodegeneration and discovering new biomarkers and therapies targeting neuronal or glial cells for neurodegenerative diseases. The successful incumbent will
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at the Division of Transport, Energy and Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will join an interdisciplinary team with Ida-Maja Hassellöv, Lars
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Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will be joining an interdisciplinary team with Ida-Maja Hassellöv and external collaborators Amanda Nylund
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EXAFS) and high-resolution Raman and diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) to unravel charge transfer mechanisms, active sites and intermediate molecules in the reaction
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to generate pancreatic islets of Langerhans. With novel volumetric bioprinting techniques, you will investigate how mechanical and chemical factors of the engineered ECM affect pancreatic specification of stem
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available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidate will work with Dr Haoran Zuo
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electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling