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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our
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, both spoken and written. You are familiar with common MS Office applications (Word, Excel, PowerPoint). Experience with data analysis in R and/or Python is a plus. You hold a FELASA certificate (animal
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Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
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programming or scripting skills (e.g., Python, MATLAB, Bash) are a plus Prior experience in amyloid biology, protein aggregation, or disease-related structural research are an advantage. Ability
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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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in C/C++ or Python. Knowledge of Linux (ubuntu), ROS 1 and/or 2, Gazebo and/or pybullet, Docker, git, Latex are a plus. Knowledge of SLAM, pose estimation, UWB, IMUs, VIO, LIO are a plus. Hands on
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, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across cities; Examine similarities and differences in urban
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language, most people also speak English. YOUR TASKS The Marchal lab (IDLab/IMEC Ghent University,https://idlab.ugent.be/people/802000961346) has an open PhD position within the Marie Sklodowska-Curie
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recruited on the project. Full information on the two positions is available at https://jobs.ethz.ch/job/view/JOPG_ethz_yFljDVyQe8rGR1wwVL . The first doctoral candidate will work at ETH Zurich. The present
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https