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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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, parameterization, simulation experiments, and output analysis very good programming skills in at least one language (e. g., R, Python, C++, or Julia) a strong interest in interdisciplinary work (e. g., demonstrated
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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Science, Computational Biology, or a related discipline Preferably with prior professional experience as a Postdoctoral Researcher Strong computational background with proficiency in R and at least one
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(e.g., R, Python, C/C++) Excellent communication and writing skills Interested candidates are invited to complete the online application and email your CV and cover letter to Dr. Sapkota ( yadav.sapkota
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Experience with writing scientific publications Experience in working with contaminants like PFAS, PCBs and mercury, fatty acids, stable isotopes and modelling in R A talent for working with large data sets
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mechanisms (e.g. transcription factors, enhancers, genome structure, and transcriptional condensates), and experience building succinct, clear figures using R are preferred. The Department of Computational
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Application Deadline: 3 December 2025 for positions starting between March 2026 and September 2026. Application Link: https://erez.weizmann.ac.il/apx/r/ws1/372/102?P101_APPL_LANG=E&P101_APPL_TYPE_SHOW=75