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the genetic and molecular basis of adaptation. Recently, our research group developed a groundbreaking CRISPR/Cas9 method called SYNCAS (https://doi.org/10.1016/j.ibmb.2023.104068 ), which enables efficient
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-catalysed coupling reactions for preparing interesting basic molecules for the pharmaceutical industry. The methodology's tolerance to functional groups will allow ‘late stage’ functionalisation to be
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to resolve spatial inhomogeneity and dynamics in the structures. Next to this, you will develop electrical pump –optical probe methods to study the effect of charge injection/extraction on optical losses
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project on geographic patterns of crimes and their environmental determinants, developing and employing (new) GeoAI and quantitative research methods . More specifically, the candidate will focus on 1
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achievements Research fields and interests, including: A full list of publications (attach as separate document) Indicate three most significant publications with an asterisk, and list impact factor and
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. The PhD fellow will (1) conduct terrestrial laser scanning fieldwork across a range of ecosystems; (2) contribute to the development of new methods to analyse multitemporal 3D data from terrestrial laser
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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methods based on exact algorithms and/or (meta)heuristics (in Python, Java, C++, …) You are willing to invest time and effort in improving both your academic English writing and presentation skills, i.e