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: PhD in Life Sciences ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 8,000 people, it is actively involved in education and research, management and administration, as
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for international excellence. Eligibility criteria PhD in data science-adjacent fields (biostatistics, bioinformatics, computer science, bioengineering, biotechnology) with a strong publication record. Experience
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the ideal candidate: You have obtained the PhD degree in electrical engineering with a solid background in power system network modelling, focusing on interarea mode analysis, from a reputable institute
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As the ideal candidate: You have obtained the PhD degree in electrical engineering with a solid background in power electronic converter and network modelling, focusing on harmonic analysis, from a
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if desired. The starting date of the contract can be as early as possible. Eligibility criteria Eligible candidates have a PhD in a relevant area (e.g., cognitive neuroscience; experimental psychology) and
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, collaborating closely with other bioinformaticians, as well as cancer cell and molecular biologists, clinicians and pathologists. Profile Essential Requirements PhD in Bioinformatics, Computational Biology
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results Closely collaborate and supervise PhDs, technicians and master students involved in the project Communicate research findings within the European consortium and at international meetings
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Economics in teaching assignments and Master's theses. You are jointly responsible for the provision of services to and expansion of the Consumer Behavior research group. For example, you give seminars to PhD
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processes for primary and secondary raw materials and on the use of mechanochemistry and/or electrochemistry as a process intensification tool. To contribute to the (co-)supervision of PhD students and Master
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independent researcher. The candidate will support the current PhD students in their lab activities and with academic writing. She/he will lead international collaborations when needed. Requirements Research