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Field
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, MetaPhlAn, or similar). Proficiency in programming languages for data analysis (e.g., R, Python). Experience with mass spectrometry-based metabolomics approaches, including LC-MS/MS. Experience operating
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, physics, or a related field Strong programming skills in Python and scientific computing in a Linux environment Strong expertise in machine learning and deep learning, including experience developing
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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culture techniques. Basic Immunological concepts. Preferred Qualifications Prior experience with live cell fluorescent imaging is helpful. Being proficient in Python, R, and/or command line applications is
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Formal
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) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform
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. Strong quantitative skills (e.g., econometrics, optimization, I/O table, CGE, simulation modeling) and solid programming experience (e.g., Python/R/Matlab/C). Preferred (optional): familiarity with machine
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of the English language, demonstrated through published first author papers in respected and relevant conference proceedings or journals; Experience with programming in Python, or otherwise in R and/or C++; Able to work
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programming in Matlab and/or Python. You are hands-on in lab work and skilled in experimental design. You bring creativity, an assertive attitude, and perseverance. TU Delft Delft University of Technology is
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language FORTRAN is a plus. · Knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. · You like working in a team, explaining