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diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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and other educational activities on different levels and using a variety of teaching methods. An ability to supervise doctoral students to achieve a PhD. An ability to collaborate with wider society and
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Subject description The PhD work will be carried out within European Innovation Council funded project Bioinspired Singlet Fission Photon Multipliers (BioSinFin). The goal of BiosSinFin is to use
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of Synchrotron Radiation Research. This Division focusses on experimental studies of electronic, magnetic, structural and chemical properties of materials, using synchrotron and neutron methods, and has access
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(Operations Office), with employees both in Solna and in Uppsala. The position is formally located at the Operations Office at KTH with location in Solna. The Operations Office has a coordinating role in
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Participate in various projects Handling documentation Updating P&ID drawings in CAD software Transferring P&ID from AutoCAD to E-plan to have a unified system with electrical and automation department To be
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, e-mail: Jonas.Larsson@med.lu.se Information about the application formalities may be obtained from Head of the recruitment, salary and HR-support offices Kajsa Johnsson, e-mail: Kajsa.Johnsson
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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of a unique and collaborative research environment in micro- and nanotechnology, housing over 250 researchers and PhD students. The main research activities at the terahertz and millimetre wave
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the function of novel proteins involved in innate immune processes against pathogens. We will use a combination of computational and experimental methods. The position is aimed at a candidate with