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Cooling systems are essential for modern society - from server rooms and data centers to food storage and thermal comfort - yet they are also large energy consumers. This PhD project aims to make
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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and indexing) Carrying out data collection, data management and analysis (under supervision) Performing research tasks within the area of classical archaeology, e.g. literature searches and image
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leading the establishment of a centralized repository for genomic data and metadata, with a strong emphasis on existing and novel methods for the evaluation of genome quality, indexing and clustering
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conditions for art and culture. Possible focal areas include AI and algorithmic creativity, digital media aesthetics, data-driven culture, new forms of the dissemination of art, literature, theatre and music
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transcriptomic data, you will identify protein signatures linked to tumour aggressiveness and metastasis and define multiomic biomarkers for improved cancer detection and patient stratification.\ You will join the
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, OpenPNM, LAMMPS, or equivalent) and/or experimental design and data analysis You demonstrate strong teamwork, communication, and independent research skills You are proficient in English (spoken and written
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Job Description Shape the Future of Energy - Help Redesign How We Store and Use Cooling Cooling systems are essential for modern society - from server rooms and data centers to food storage and
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proposals. Obtain and provide information and matchmake colleagues to upcoming calls for proposals. Seek new avenues for funding and new grant opportunities. Identify, promote, and support best practice in
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researchers and accompanying families, including assistance with relocation and career counselling to expat partners. Please find more information about the International Staff Office and the range of services