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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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knowledge of C++ in relation to scientific software. You have acquired one of the two following skill sets (both is a strong merit): Previously conducted implementations of algorithms and simulations using
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for a candidate with a strong interest in research and ideally some previous experience in data analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse
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, treatment response, and relapse, Define tumor microenvironment signatures with potential to predict therapy outcomes Analysis of omics data to identify relevant downstream targets, Establishing and
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to an externally funded project with industrial partners and has some pre-defined targets that have to be achieved. The work duties include: Research related to lithium recovery from batteries with membrane
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(https://www.globischlab.org/research-projects/). The analysis will be included into our EU-network PANCAID (https://pancaid-project.eu) that will lead to interdisciplinary scientific interactions within
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, 6G communication and wireless sensor networks as well as research and education within life science, health technology, smart electronic sensors and medical systems. The Department of Electrical
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interested, and you will have excellent opportunities to network with leading research labs in Sweden and internationally. You are expected to drive your project independently while enjoying the freedom
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health sciences Documented knowledge and experience in statistics and epidemiology Experience working with registry data and environmental exposure data, including the use of software such as Stata and
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, which is the overwhelming camera technology of today; machine learning with deep neural networks. More details can be found here . The Department of Mathematics at KTH offers a high-class, active research