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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
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. The Department of Chemistry at Aarhus University (www.chem.au.dk) is one of the leading European chemistry departments with a broad research program. It has a permanent staff of ~35 full and associate professors
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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required
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programs, oversee data collection and analysis, prepare reports and presentations, supervise research assistants, and perform other relevant tasks as assigned. There will be many opportunities to collaborate
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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
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written and verbal communication skills in English. 4. Preference will be given to candidates experienced in using Sage, PARI/GP or Magma to do number theoretic computations (L-functions, modular forms, etc
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range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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applications). Excellent collaboration and communication skills. Fluency in English (spoken and written); Dutch language skills are not required. You also have A proactive attitude and the ability to work
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning