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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
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: applicants should hold a PhD degree in quantitative science such like bioinformatics, physics, computer science or a comparable field proved outstanding skills in computer science, physics, mathematics, or a
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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to publications, presentations, and open-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong
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Supervision and mentorship of PhD and medical students, fostering their development and guiding them in their research projects Our requirements A PhD in biology, biochemistry, bioinformatics, or a related
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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on aging Engage in manuscript writing, grant preparation, and scientific dissemination Actively pursue external funding opportunities Requirements: PhD in Molecular Biology, Bioinformatics, Evolutionary
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
the Excellence Cluster of Immunosensation2 in Germany (www.immunosensation.com). Requirements: PhD degree in life sciences (biology, biomedicine, immunology or comparable studies) Scientific background in
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Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center – University of Freiburg offers the position of a PhD candidate or Postdoctoral
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expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics