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/Translational Science and mentorship of the NIH/NCI F30 Predoctoral MD/PhD Fellowship awardee. The selected candidate will receive personalized mentorship in career development planning, preparation
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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering
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letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter
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and/or Training: Bachelor's degree in biology or biomedical sciences Master's or PhD degree in Biology or Biomedical Sciences preferred Minimum Experience: 4+ years working in an academic research
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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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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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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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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Qualifications PhD in Neuroscience or other related field Experience in in vivo dosing (IV,IP, SC), mouse brain stereotactic surgery, in vivo two photon imaging, image analysis Qualified applicants must be
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wet-lab researchers, clinicians, and computational scientists contributing to manuscripts, grant applications, and scientific presentations supervising MSc and PhD student projects Entry requirements We