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statistical machine learning models and methods, Bayesian learning, or an area related to those mentioned in Work Assignments is also strongly advantageous. Solid programming skills in Python. Experience with
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Linux skills, Python, git. Network and System Infrastructure: TCP/IP layers, fiber, OS configuration. Previous experience working in a research-oriented facility (e.g., as a PhD/postdoc). As a person, you
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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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in written and oral English. Programming skills with Python. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills
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, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have expert knowledge in working with and developing bioinformatics tools in Python
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for seeking the position. Extensive experience with Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Experience with
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, Python You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: A doctoral degree
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need strong written and verbal communication skills in English Proficiency in programming with high-level languages like Python or C Strong analytical skills and an interest in theoretical and
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, statistics, optimization) and strong interest in time-series modeling and physics-guided machine learning. Proficiency in Python and modern deep learning frameworks (e.g., PyTorch). Strong engineering maturity
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Knowledge of sodium- or lithium-ion batteries Experience with electrochemical methods Prior experience with data analysis and programming (e.g. Python or Matlab) Experience working in industrial