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efficiently and accurately interpreting their findings. Skills are needed in working with tissues, analytical techniques and biological samples. Experience of 3D printing and CAD design is highly desirable but
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the Blackholistic collaboration, which is funded by an ERC Synergy grant and aims to try and unify accretion and jet formation across the black hole mass range. The collaboration incorporates observations, analytic
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handling large datasets Bash / Linux knowledge good experience of English in both spoken and written form self-motivated, perseverance, collaborative, structured, independent, creative, analytical and/or
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analysing naturalistic infant neuroimaging data and ideally experience with dyadic parent–child data. We are looking for someone who is analytical, collaborative, and proactive — a researcher who can balance
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architectures Excellent analytical, problem-solving, critical thinking, and communication (written and oral) skills Ability to work independently, collaboratively, and creatively Physical Demands This is
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the Blackholistic collaboration, which is funded by an ERC Synergy grant and aims to try and unify accretion and jet formation across the black hole mass range. The collaboration incorporates observations, analytic
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improving analytical protocols, conducting lab and field analyses and training other students and collaborators on analytical approaches. The start date is Fall 2025. This is a full-time (100% FTE), one-year
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writing, in Dutch and English. With your analytical mindset, initiative, and structured way of working, you make a visible contribution to the quality of the research and the collaboration within the team
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diverse data sets, applying advanced analytics, and leveraging ML/AI techniques to detect, quantify, and forecast global risks affecting sourcing strategies. It will also include assessing AI-driven demand
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, protein design, engineering and purification, strain engineering and microscopy (fluorescent, TEM, SEM, AFM) and analytical methods (HPLC, GC, rheology) and/or computational analysis/modelling of biological