Nicolas Arning

Interdisciplinary Biosciences DTP

Biosciences related topics: Eukaryotic/viral/bacterial genomics, Statistical genetics, Sequencing
Computer science related topics: Python, Bash, HTML, Matlab, R, Machine learning, Applied statistics, Unix, Computer architecture, High performance computing, Data science
Knowledge of general tools: Inkscape, LaTeX, Sun Gridengine, git
Available Masterclasses: How to work on a computer/cluster remotely, Applied statistics using Python, How to write a report in LaTeX, How to do get from sequencing to genome and everything in between, Machine Learning in Python for absolute beginners

Ka Ho Tam

ONBI CDT

Biosciences related topics: Imaging, Automation, Ray tracing
Computer science related topics: Linux, Bash, Anaconda, Python; Matlab; C++
Knowledge of general tools: CAD/Blender, different IDEs for Debugging

Sarah-Beth Amos

iCASE

Biosciences related topics: Computer simulation, markov state models, molecular dynamics simulations
Computer science related topics: Python, matlab, R, bash scripting, Anaconda, data analysis, statistics
Knowledge of general tools: jupyter/ipython notebooks and their use in the lab setting
Available Masterclasses: Markov state models for molecular dynamics simulation data (python), Data visualisation in Python

Laura Santana Gonzalez

Interdisciplinary Biosciences DTP

Biosciences related topics: Single-cell and bulk sequencing
Computer science related topics: R
Knowledge of general tools: STAR, EgdeR, R, featureCounts

Andreas Kjaer

Interdisciplinary Biosciences DTP

Biosciences related topics: Molecular Dynamics and Structural bioinformatics
Computer science related topics: Python, Bash, R
Knowledge of general tools: GROMACS and Biopythons various tools

Thomas Pak

Interdisciplinary Biosciences DTP

Biosciences related topics: Mathematical modelling
Computer science related topics: Object-oriented programming, systems programming, numerical analysis, scientific computing, parallel/high-performance/GPU computing, Linux, Bash, MATLAB, Python, C, C++, CUDA C/C++
Knowledge of general tools: Makefile, vim, MPI, OpenMP, SWIG, Chebfun, FEniCS, Lattice Microbes, Numpy/Scipy/Matplotlib, Inkscape, LaTeX/Markdown/pandoc, git/GitHub
Available Masterclasses: Solving partial differential equations in FEniCS (finite element solver implemented in C++ with Python interface), Introduction to GPU programming and CUDA C/C++, Chebfun tutorial (MATLAB package for computing with functions), MATLAB: vectorisation and best practices

Matishalin Patel

Interdisciplinary Biosciences DTP

Biosciences related topics: Dynamical modelling (stability analysis), Agent based simulation, genetic algorithms, NEAT
Computer science related topics: Machine learning, statistical modelling
Knowledge of general tools: Python, R, Julia, and Mathematica

Joe Wynn

Interdisciplinary Biosciences DTP

Biosciences related topics: Statistics (for biologists), specifically circular statistics
Computer science related topics: R, Windows and Mac machines
Available Masterclasses: data manipulation and statistics in R, Circular statistics course, How to analyze animal tracking data

Sofia Minano Gonzalez

Interdisciplinary Biosciences DTP

Biosciences related topics: Data analysis, data visualisation
Computer science related topics: CAD, optimisation, simulation, controllers design, animation, signal processing
Knowledge of general tools: CATIA, Matlab, Blender, Spyder (Anaconda), GitLab, MeshLab

Ines Barreiros

Interdisciplinary Biosciences DTP

Biosciences related topics: Behavioural and neuronal data analysis
Computer science related topics: Python, Matlab, good coding practices
Knowledge of general tools: Github, Spider (Anaconda), Matplotlib

Rona Costello

Interdisciplinary Biosciences DTP

Biosciences related topics: Phylogenetics, bioinformatics, genomics, proteomics, ancestral strat reconstruction
Computer science related topics: Python, R, bash
Knowledge of general tools: Dendroscope, ETE3, Biopython, cinema5

Steven Walsh

Interdisciplinary Biosciences DTP

Biosciences related topics: Anlaysis on next generation sequencing data, (ATAC seq/ CHIP seq), Linux, analysis of Mass Spec data
Computer science related topics: Perl, Python, Java

Interested?

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