Computational Biology Master Student Experience in Structural Bioinformatics Skills with programming languages

Estudiante de Master de Biología Computacional con interés en análisis de resultados de experimentos de secuenciación masiva.

Master student with background on: - R Programming and computational biology tools. - Analysis and bioinformatic interpretation of different omics data set - Statistical modelling - English is mandatory.

Master student with background on: - R Programming and computational biology tools. - Analysis and bioinformatic interpretation of different omics data set - Statistical modelling - English is mandatory.

Master student with background on: - R Programming and computational biology tools. - Analysis and bioinformatic interpretation of different omics data set - Statistical modelling - English is mandatory.

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R, Linux and programming skills required, preferentially in Python. Genuine interest in plant microbe interactions and microbiome studies is advantageous. It is expected that the student is fluent in English.

· Language: good written and verbal English skills.

· Coding language: basic knowledge of Python

Operating system: basic knowledge of Linux commands

Experience in coding and scripting is required (most importantly Python and Matlab; C++ or C would be desirable). Some knowledge on modelling gene regulatory networks through ordinary differential equations would be helpful. It is expected that the student is fluent in English.

Is expected that the student is fluent in English. Experience in coding and scripting is essential. Previous experience is RNA-Seq. analysis is desirable. Motivation to learn about plants is advantageous.

The student should be familiar with using and adapting established bioinformatics pipelines that are used in genomics (Bowtie2/MEME suite/Homer suite/Deeptools/various R pipelines). All pipelines will be run as command line tools on the MPIPZ compute cluster. Bash scripting and writing plugins e.g. using R/Bash scripting/Python should be done autonomously, solid statistical background is a plus. The group members are mostly experimental biologists with a strong background in epigenetics, but there will be a second Master student from the University of Cologne with a data analysis project. The student can expect ample training in epigenetics, but should be rather self-sufficient in computational approaches.

Training in Biotechnology or Bioengineering, good command of English. A previous lab experience as well as familiarity with molecular biology techniques and phylogenetic analysis will be considered as a plus.

Degree or Master student in areas of Life and Health Sciences, Bioinformatics, Computational Biology or Informatics/Computer Science. English. Tasks will be adapted to the training of the student.

Conocimientos de python y linux

Estudiante del Máster en Biología Computacional. CV previo: - Graduado en Biotecnología - Inglés B2

Estudiante de Máster de Biología Computacional

Estudiante de Máster en Biología Computacional

Computational Biology Master student

Estudiante del Master in Computational Biology

Student in the Grade of Masters. The student should have a good background in one programming language e.g. Phython. Interest in data science and some biological background would be helpful. The student should be proficient in the English language.

Training in Biotechnology or Bioengineering, good command of English, previous lab experience is desired, familiarity with molecular biology techniques, previous experience with Phyton, R, Image analysis computational tools is a plus

M2 Student with experience in coding and scripting, at least, use of python, bash, and R. Experience with clusters. The student should be used to use and adapt established bioinformatics pipelines that are used in genomics (Bowtie2/MEME suite/Homer suite/Deep tools/various R pipelines/STAR/DESEq). It is expected that the student is fluent in English and French.

Estudiantes del Grado en Biotecnología. Se valorarán conocimientos de algoritmia y del entorno de programación R y buen nivel de idioma inglés.

• Conocimientos/experiencia lenguajes: Python y/o JavaScript

• Conocimientos/experiencia con software: git / github / gitlab

• Pasión/Mucho interés en: o Programación de sistemas de IA o Leer y aprender. Formación continua. • El campo de IA está en plena evolución, necesitamos personas que no les dé miedo enfrentarse a retos complejos. Como pueden ser, los desarrollos de agentes de IA para sistemas industriales.

Estudiante de máster de biología computacional.

Estudiante de máster de biología computacional.

Student in the Grade of Biology/ Informatics /Engineering. Orientation: computational biophysics. Proficiency in MATLAB usage and programming.

Estudiante de máster. Conocimientos de bioinformática, programación, inglés. Capacidad de trabajo en equipo.

Estudiante de máster. Conocimientos de bioinformática, programación, inglés. Capacidad de trabajo en equipo

Biotecnologos, Ingenieros, Físicos, Experiencia en programación (Matlab, Mathematica), Matemática aplicada, manejo de células (no excluyente)

Grado en Ciencias o Ingeniería, Orientación bioinformática, biofísica y/o biología computacional. Informática: Conocimientos de programación en MATLAB y/o MATHEMATICA

Estudiante de máster. Conocimientos de bioinformática, programación, inglés. Capacidad de trabajo en equipo.