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. Training of IMB members in relevant areas of bioinformatics/computational biology. The candidate supports the training of PhD students and postdocs by organising individual sessions and regular teaching
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Institute for Research in Biomedicine, Università della Svizzera italiana | Switzerland, | Switzerland | about 7 hours ago
funded by a Sinergia grant from the Swiss National Science Foundation (SNSF) and will be carried out in a laboratory affiliated to the Swiss Institute of Bioinformatics (SIB). Preferred starting date is 6
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, viral gene transfer, multi-parameter flow cytometry, in vivo experiments, NGS-applications and bioinformatic data mining. Highly motivated with a genuine interest in cancer research. With a curiosity
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frequent visits to Empa headquarters in the Zurich area, and it is available from September 2024, or upon mutual agreement, with a planned duration of 3 to 4 years. The PhD student will be enrolled at ETH
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spectroscopy as a rapid, noninvasive, and label-free omics technology enabling metabolic profiling and biomarker detection in wound exudates. PhD position in Discovery of novel biomarkers for chronic wound
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Two PhD Positions in Neuroimmunology 100%, starting 2024/2025 The Department of Biomedicine is a joint effort between the University of Basel and the University Hospitals Basel. It unites basic and
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and Duration The project is funded by a Sinergia grant from the Swiss National Science Foundation (SNSF) and will be carried out in a laboratory affiliated to the Swiss Institute of Bioinformatics (SIB
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: PhD in computational biology or related field Background in computational biology, bioinformatics or a related field Strong programming and statistical knowledge, including machine learning Excellent
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply in vivo functional genomic methods. Project
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infectious diseases. In this context, we invite applications for multiple PhD positions to work on ERC funded project focusing on development of nanopore sensors for monitoring protein production and secretion