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and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon sequencing or draft genome sequence analysis, is highly desirable. Project title: Gut microbiome and
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Fellow Campus Columbia Work County Richland College/Division College of Pharmacy Department COP Drug Discovery and Biomedical Sciences Anticipated Hiring Range $63,480 Location of Vacancy Part/Full Time
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 534928 Work type: Full-time Department: Department of Pathology, School of Clinical Medicine (21200
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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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Infrastructure? No Offer Description - work environment: This position is part of a nationally funded research project focused on the early detection of neurodegenerative diseases through the analysis of protein
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as alternatives to current needle‑based diagnostic techniques. The work includes advanced analysis of motor units in muscle tissue, with the goal of translating methods from specialised research
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study for the evaluation of analytical fingerprinting techniques such as food fraud screening for the improvement of official agri-food inspection and control plans Functions and Tasks: The postdoctoral
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fellow's work involves evaluating the role of CLDN1 in the growth of xenograft tumors and determining how CLDN1 modulates the tumor microenvironment. The transmembrane protein CLDN1 plays an important role
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 4 days ago
questions, we use a combination of genetic, behavioral, quantitative, and modeling techniques to study a range of collective behaviors in groups of nematodes, including the model organism C. elegans
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research