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regulatory networks in pathogenic yeasts, with impact on their pathogenesis, in order to strengthen knowledge regarding less well-studied yeast species. From the bioinformatics standpoint, the work will focus
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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these are affected by breeding, physical activity, care, production, stress, environmental factors and disease. Please visit the following homepage for more information on the Department: https://www.slu.se/en/about
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EpiFlaMe Consortium (located at University of Salzburg, University of Linz, and Medical University of Vienna) | Austria | 3 months ago
: Memory in Epithelial Cells – Organ Specificity and Cancer Our newly funded consortium “EpiFlaMe” is looking for: 7 PhD students 2 bioinformaticians (postdoc and technician) 2 wet lab technicians
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available from July 2026. The research group studies functional immunogenetics and adaptive immunity - particularly in relation to autoimmune diseases (https://www.med.uio.no/klinmed/english/people/aca
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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the building, as are key core facilities including deep sequencing, flow cytometry cell sorting and hematopathology. The candidate should have a PhD or equivalent research experience. He/she should be
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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(biology, chemistry, biochemistry, biotechnology, medicine, or biomedical sciences). PhD degree in Biology, Medicine, or Biomedical Sciences, obtained within the last 10 years. Demonstrated experience in
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workflows. Qualifications Basic qualifications (required at time of application) -PhD in neuroscience, bioinformatics, biomedical engineering, statistics, computer science, or related field. Additional