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emphasis on bioinformatic and evolutionary analysis. Qualification requirements In order to be admitted to postgraduate education, the applicant must have the general and specific entry requirements
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electronics for space-borne Earth climate observations. With this goal in mind, the PhD project will explore ultra-low-noise detectors and advanced terahertz receiver architectures. Major responsibilities Your
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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to Human sequences and viceversa - Experience in Culturing Dictyostelium discoideum - Experience in Genetic engineering and developing CRISPR constructs - Experience in Bioinformatics and data analysis
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and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms
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well as analysis and evaluation of the results of these. Research publications in reputable scientific journals, where the candidate has a lead author position Ability to present and communicate research ideas
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: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be
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, biology (or related fields) with a focus on farm animal behaviour and welfare. interest and/or experience in animal behaviour, statistics, and computer-based data analysis. documented research experience
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analysis, modelling and field experiments, our project will illuminate the way forward for assisted migration (AM) as a pathway to sustain, and to restore in case of degradation, the biodiversity and
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long-term experiments. Your profile The candidate must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis and