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education credits. Qualifications You should have an MSc degree in microbiology, ecology, bioinformtics, or a subject relevant for the position. Skills in statistical, database management and scripting
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statistical, database management and scripting programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution
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sources including field experiments and agricultural statistics. The PhD student will use and develop biophysical models of nutrient flows in agri-food systems, from farm to fork, to assess how different
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education credits. Qualifications You should have an MSc degree in microbiology, ecology, bioinformtics, or a subject relevant for the position. Skills in statistical, database management and scripting
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such as ICP, UV/Vis, etc. Experience in wastewater treatment methods (adsorption, electrochemical techniques, etc.). Knowledge of applying statistical analyses for data qualification. Skills in Swedish
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must hold an M.Sc. degree in a relevant field, such as data science, bioinformatics, mathematical statistics, mathematics, computer science, physics or molecular biology (obtained latest October 1, 2024
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a master’s degree in computational biology, Data Science, Bioinformatics, or related fields. Familiarity with basic concepts of statistical analysis is required. Strong programming skills in Python, R
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addition to the PhD school at CSE. As part of your research project, you will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse
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, computer science, economics, business administration, history, political science, sociology (or similar). Documented knowledge of digital humanities and social sciences, Python and econometrics/statistics is an