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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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in materials characterization techniques such as Raman and scanning electron microscopy. Data analysis skills using Python, MATLAB, or similar platforms. Excellent written and oral communication skills
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, or Python. Prior publication of peer-reviewed manuscripts in reputable journals. Strong written and interpersonal communication skills. Ability to work independently, manage time effectively, and meet project
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doctoral studies / focus on solid state physics or chemical physics Professional skills: Development of ab initio methods Methodological skills: Python, Fortran, C, C++ High performance computing Good
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with large-scale human omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch
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. Certifications: No specific certification is required for this position. Work Experience: No specific work experience is required for this position. Skills: Biomedical Research, Functional Genomics, Python
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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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++, Python or Java is desirable Excellent verbal and written communication skills. The working language of the laboratory is English. Experience in communicating research findings to a non-specialist audience