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data from FASTQ/BAM and genome reference datasets. Experience with comparative genomics and/or germline gene discovery. Strong programming skills in Python and/or R, with practical experience in Linux
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in bioinformatics, molecular biology, computer science, or a related field; Strong bioinformatics skills, including programming in a Linux environment (Bash, R, Python) and familiarity with commonly
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Linux environments A genuine interest in neurodegeneration, gene regulation, and single-cell genomics Specific Requirements MSc degree in Biomedicine, Bioinformatics, Molecular Biology, Neuroscience, or a
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and automation of simulation workflows and data post-processing (e.g., Python, MATLAB, or equivalent). The following additional merits may also be considered: knowledge in Paraview, GNU/Linux, and
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the Linux/Unix command line, and a solid foundation in statistics. Candidates should be able to work both independently and collaboratively and to communicate scientific results effectively in English
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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ASPECT, StagYY or GAIA Experience with high-performance computing, preferably under a Linux operating system Excellent communication skills Fluency in English (written and oral) Desirable Qualifications
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: - Deep technical knowledge of and experience with fundamental Internet protocols and functionality - Systems-level programming experience - Strong experience with UNIX/Linux - Familiarity with current
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Python and/or Julia using LINUX-based OS. Communication of findings through journal publications, conference presentations and project reports. Candidate Requirements Applicants must satisfy the criteria