Sort by
Refine Your Search
-
. For the Laboratory for Waste Management – Transport Mechanics group and within the scope of a research project funded by SwissNuclear we are looking for a Postdoctoral Fellow in AI-enhanced modelling of boiling
-
and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
-
of the candidate Exact PhD defense date (Eligibility window: PhD + 5 years. For flexibility for maternity/paternity leave please check the guidelines) Current country and university the candidate is affiliated with
-
genetically modified mouse models. Experience with spectral flow cytometry is essential. Experience with cell sorting, preparation of tissues for RNAseq and confocal microscopy analysis is highly desirable
-
(SNSF). AntiResist is transforming antibiotic discovery and development through in vitro modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance
-
learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
-
computational modelling of the electronic structure of nitride systems. You will be embedded in a vibrant scientific community at PSI, exploring solid-state systems through a variety of complementary techniques
-
discovery and development through in vitro modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance. To reach this goal, AntiResist has assembled a panel of
-
must hold the rank of professor or department chair. Associate fellows may agree to integrate early-career fellows into their group part-time and provide infrastructure for their project. Limitations