69 assistant-professor-computer-"https:"-"https:"-"https:" positions at University of Lund
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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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close collaboration with teachers responsible for the SI-program at the department as well as with other SI-leaders within the program. Supplemental Instruction (SI) is an academic assistance program
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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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https://www.biology.lu.se/ . Find more reasons why Lund University and the Faculty of Science are right for you here and here , and learn more about what it's like to Work in Lund , Move to Lund and
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institutional support, mentorship, and a clear path toward promotion to Associate Professor and eventually Full Professor. Are you an ambitious early-career researcher looking to establish an independent academic
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human...
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equality and diversity as a strength and an asset. We are seeking a project assistant to support research activities within the project "Social consequences of digitalisation of agriculture: Carbon farming
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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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postdocs and does research on various aspects of anesthesia and intensive care. The group is headed by associate professor Peter Bentzer and the research areas include fluid therapy in the critically ill and
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group – lead by Professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial