Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, deep learning), and AI frameworks (e.g., Python, R, TensorFlow, PyTorch). Experience with biological or animal science data (e.g., omics, time-series production data) is highly desirable; familiarity
-
You have an experience in scientific programming using Python for data analysis You can integrate easily in an interdisciplinary research team and have great communication skills Additional Information
-
). Hands-on laboratory experience with lasers, optics, or photonic devices. Skills in experimental data acquisition and analysis (in Python). Motivation to combine computational modeling with experimental
-
physics, optics, photonics, materials science, or a related field. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python
-
large-scale, consortium-based projects is a plus. Proven skills in data analysis and programming (MATLAB, R, Python, etc.); experience handling large datasets is a plus. Additionally, skills using Linux
-
. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python, MATLAB, or similar tools. Experience in theoretical modelling
-
(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
-
or soon to be finished Background in protein design, computational biology or related field Working knowledge in at least one relevant coding language (Python, R, or C++) Excellent communication skills and
-
single, comprehensive model Independent, solution-oriented working style and interest in experimental research Strong programming skills, particularly in Python Additional Information Benefits We offer Our
-
areas above) and their grades. Strong programming skills (i.e., Python and main Machine Learning frameworks such as Pytorch). Experience with scientific writing (e.g., reports, theses, and scientific