259 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" research jobs in Sweden
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
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eligible for a postdoctoral position, the applicant must have obtained a doctoral degree, or a foreign degree deemed equivalent, in a subject relevant to the position (i.e.,regenerative biology, molecular
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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project
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models. This includes cell co-culture assays in pregnancy-on-chip models (i.e., feto-maternal interfaces on-chip or lower re-productive tract on-chip), in vitro cell-differentiation as well as loss- and
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must have obtained a doctoral degree, or a foreign degree deemed equivalent, in a subject relevant to the position (i.e., molecular biology, tumor biology, immunology, or a related field). The degree
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to Inclusivity PULSE follows the European Charter for Researchers and the Code of Conduct for Recruitment of Researchers, ensuring an open, fair, and transparent selection process. We encourage applications from
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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. PyTorch, TensorFlow or similar). Experience with software/tool development for research, including good practices in reproducible code (e.g. Git, notebooks, pipelines). Demonstrated experience in analyzing
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. Experience and ability to design and execute experiments to evaluate protein self-assembly. An ability to derive equations and writing code to analyze data on protein self-assembly. Practical experience in