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Course location Heidelberg Description/content The Graduate Academy As a coordinating hub for meta-disciplinary skills training, career orientation and information services, the Graduate Academy
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Data Analytics Responsibilities Achieve a deep understanding of the data elements in multiple Radiation Oncology systems and how meta analyses can be derived from disparate – and sometimes overlapping
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that automate and optimize Amazon ad campaigns using AI and machine learning, including LLMs Apply knowledge in a way which develops processes suitable for application in industry. Integrate AI for Campaign
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continually improve personalized user experiences. SEO: Implement and maintain on-page SEO practices, collaborating with content creators to optimize titles, meta descriptions, headers and images for SEO
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, NCBI-GEO, ArrayExpress, GTEx, ENA, BLAST, Ensembl, UCSC Genome Browser, etc). Demonstrated proficiency in shell scripting (Bash) for automation, workflow optimization using Nextflow and Snakemake, and
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England and Wales. It is not clear how well these guidelines are adhered to in clinical practice. Beyond this, the evidence supporting this approach is derived from a health economics focused meta-analysis
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management systems Canva, Adobe Express, Adobe Photoshop, or Adobe Illustrator Google Analytics and Google Ads Meta Business Manager Basic HTML and CSS knowledge Familiarity with reporting, testing, and
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. •Support an integrative approach to student services to optimize efficiencies, enhance service, remove redundancies, support retention, and increase productivity. •Provide the vision for a state-of-the-art
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understanding of how everyday responses to rewarding or stressful events can affect our capacity to make optimal decisions, as well as facilitate the study of how mental disorders—such as chronic stress
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& Optimization, including large-scale optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and