45 computer-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Lund in Sweden
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Description of the workplace The position is in the Graphics Group (graphics.cs.lth.se), which is a part of the Department of Computer Science. The Graphics Group has a long history of
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, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling. Qualification requirements Requirements are: A
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Medical Science, Lund University. Her research group works with computational sequence and structural analysis of microbial genomes and proteins. Project description The project involves using and
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the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
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Description of the workplace The doctoral student will be employed at the Department of Computer Science, where research on engineering of large-scale software-intensive systems is conducted in
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Description of the workplace The Division of Secure and Networked Systems within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer
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test multi applications. Within this project we will design a ultrabroadband and a high spectral resolution hyperspectral lidar. The development is done by raytracing, Computer Aided Design and 3D
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need to have the following qualifications Following a university curriculum High school level, computer knowledge, technical interest. Experience in high level programming languages
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equality and diversity as a strength and an asset. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of the POLLCLIM project that focuses
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age