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, or macroecology. · Analytical Competence: Proficiency in programming languages commonly used in ecological modeling (e.g., R, Python) and working with large ecological datasets. · Collaboration Skills
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-ray crystallography, cryoEM) and/or analytical chemistry (e.g., mass spectrometry) Programming skills (e.g., in R or python) Ability to work independently, take initiative, and collaborate within
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biodiversity conservation, forest ecology, or macroecology. · Analytical Competence: Proficiency in programming languages commonly used in ecological modeling (e.g., R, Python) and working with large
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combination of practical laboratory work (wet-lab work) and computational analysis (programming in R and/or Python). The program also includes attendance to seminars, courses, and conferences. The PhD student
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with strong programming/coding skills (see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large
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, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial genomics, human gut microbiota research (shotgun metagenomics), Metagenome assembled genome
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in basic bioinformatics for genetic and transcriptomic analyses, including proficiency in single-cell analyses. Mandatory skills include proficiency in R and Python programming. Wet lab experience is
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museum samples Proficiency in bash command line and Python/R Experience working with high-performance computing clusters Experience with molecular lab techniques (e.g., DNA extraction, DNA sequence library
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-genome DNA sequence data (Nanopore, PacBio, and/or Illumina) Experience with the generation and analysis of sequence data from museum samples Proficiency in bash command line and Python/R Experience
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sequencing data. You are proficient in data analysis using R and/ or Python in a Linux environment. You are highly self-motivated, productive, and like to work in an interdisciplinary research team. We offer