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PhD students involved in related activities Writing funding demands and scientific articles in the field Participate in research, education, and training activities across faculties The EuroCC3 project
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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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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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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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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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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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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