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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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biomedical research. Required qualifications PhD in bioinformatics, computational biology, systems biology, or a related field documented experience in omics data analysis, including bulk and single-cell RNA
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experimental and computational methods within the field of translational control • Collaborate within an interdisciplinary team and participate in mentoring PhD and Master's students Your profile • Ph.D. in
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at international conferences. You hold a PhD in computational biology/chemistry, machine learning or a related quantitative field. You have a solid publication record and demonstrated experience with advanced
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preparing results for publication. Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, data science, computer science, bioengineering, physics, or a related field. A strong publication
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participating in the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will
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demonstrated excellence and have a relevant PhD degree in chemical or materials engineering, chemistry or similar. A general interest in technology application, societal challenges, and techno economics is a
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Desirable Knowledge, Skills and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion
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to evaluate algorithms on those benchmarks. Contributing to writing papers and review of the current literature. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: A PhD in biomedical sciences