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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); Delft
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- University of Amsterdam (UvA); Published yesterday
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- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
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- Leiden University; Published today
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- Max Planck Institute for Psycholinguistics; today published
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related discipline. You have demonstrated experience in GIS-based spatial analysis and/or spatial optimisation. You are familiar with methods for collecting and analysing biodiversity data (e.g. camera
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, readiness to participate in interdisciplinary cooperation. Professional command of English. Affinity with computational experimentation in mathematics (Python, Sage, Mathematica, Macaulay2, Gurobi, etc) is a
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). Flexible, readiness to participate in interdisciplinary cooperation. Professional command of English. Affinity with computational experimentation in mathematics (Python, Sage, Mathematica, Macaulay2, Gurobi
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strategies; proven ability to design, execute, and troubleshoot pooled and/or arrayed CRISPR screens in mammalian cells; strong computational skills in bioinformatics and data analysis (e.g. R, Python
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programming languages such as R or Python, or familiarity with other computational tools relevant to genomic and transcriptomic data, or a strong aptitude in developing these skills is essential. Personal
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candidate with a PhD in ecology, ecotoxicology, or environmental modeling, and strong analytical and programming skills (e.g., R or Python). Experience with biodiversity metrics, ecosystem service modeling
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perturbations, and climate change (shown by a relevant master research project experience or courses); strong analytical skills; excellent communication skills; fluency in the use of Python or a similar
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, particularly in Python and ML-related libraries, are required. Furthermore, you are highly motivated to pursue academic research and you are fluent in English, both written and spoken. Additional Information
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variables. Programming experience (e.g. Matlab, Python). A demonstrable interest in atmospheric physics and offshore wind turbines. Good organizational skills and ability to work independently. Good command
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or neuroimaging data analysis. Skills in statistics, programming (R, Python, or MATLAB), and preferably familiarity with MRI (ASL, QSM) or biomarker research. Strong motivation to work across disciplines and