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to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant
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previous experience of the Spatial Transcriptomics method and data analysis as well as knowledge of the programming language R. The PhD student will be at KTH, Department of Gene Technology, SciLifeLab
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engineering, physics and mathematics. You will need strong written and verbal communication skills in English. Some level of familiarity with computer programming is rquired. Additional Merrits (documents
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: at least 60 credits at Master’s level in Physical Geography and Ecosystem Science or comparable programme Additional requirements: Very good oral and written proficiency in English. Good knowledge of a
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subject is divided into a range of sub-disciplines and specializations. The PhD program at the Department of Biology includes many of these specializations, from molecular biology to applied ecology, from
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Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support
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modeling Good knowledge, skills and interest in computerized data analysis and model development. Documented skills in programming in e.g. Matlab, Python or similar. Skills in using appropriate programs
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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, such as policies, programs, and interventions. These effects may be direct or indirect, intended or unintended. The research aims to develop knowledge and methods to evaluate whether risk management efforts
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm