Sort by
Refine Your Search
-
mathematical programming and programming within laboratory automatization, data analysis, vacuum technology, optical and mechanical design Consideration will also be given to how the applicant’s
-
conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure. You will work closely with other members of
-
analysis of images or volumes, e.g., in ImageJ, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user
-
Single cell/Nuclei RNAseq data analysis (Seurat and Scanpy) and ATACseq Bulk RNA sequencing data analysis (DeSeq2) Programming in R, python, SQL and bash 3D tissue engineering Good knowledge English
-
related to the project’s themes, and of automated text analysis, is a strong merit. Further merits include experience of programming and of working with large-scale social science data, as well as
-
synthetic immunology, with the aim of developing improved cell-based immunotherapies for the treatment of cancer. Our research focuses on rationally harnessing and programming the immune system’s ability to
-
peptidomics, including analysis of complex datasets using specialized peptidomics tools. Experience in MS data analysis using software such as FragPipe and DIA-NN, as well as basic programming skills in
-
will form the basis for assessment: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis
-
Proficiency in flow cytometry data analysis using FlowJo Experience in bioinformatic analysis of mass spectrometry data Experience with the programming language R or a similar language Experience
-
practical experience in programming and data analysis in R. Good communication skills and extensive documented experience of supervision of degree projects. Good collaborative skills, initiative and