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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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Transcript of records/courses taken during your studies Copy of PhD degree or proof of imminent completion The detailed descriptions of the research areas with list of potential supervisors, list of training
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scientific exchange. Qualifications: Applicants should have obtained (or be close to obtaining) a PhD within the past three years in life sciences, medicine, pharmacy, biomedical engineering, computer
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clinical applications. Candidates should hold a PhD in molecular biology, cell biology, biochemistry, genetics, bioengineering, or a related discipline by the start date. Evidence of scientific productivity
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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