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Field
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in the following fields: MTech in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in
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production concepts shall be investigated. You should hold a MSc. or Dipl. degree in aerospace or mechanical engineering well above average and you should have experience in designing, building and testing
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 2 months ago
cell types Integrate multi-omics datasets (DSB maps, replication timing/direction, transcription orientation, and R-loop profiles) to identify cancer-type-specific vulnerabilities Generate engineered
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Resource Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management
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Sciences) UPM: PhD - Food Science/Food Science and Technology (Nutritional, Domestic and Food Sciences) Female applicants and candidates from less privileged regions or groups are especially encouraged
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since graduating from university.) Applications are welcome from all disciplines, i.e. not only from the natural and engineering sciences but also from the social sciences, humanities, economics and law
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single PDF file—containing your CV, academic background, an outline of current and planned research, a list of publications and teaching experience, and a teaching statement to the Dean of the Faculty
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learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary projects and communication Your
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written in English or German. Current information Application for admission to the doctoral study programme is possible at any time. Financial support No Structured research and supervision Yes Research
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" feature engineering) Style change detection algorithms Detection of AI-generated text content and attribution of which LLM generated which text Optimization of existing authorship analysis methods