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-based mental health, practitioner capacity building, and community-engaged evaluation. This position is situated within CETEs Excellence in Engagement, and Evaluation (EEE) program area. The postdoctoral
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Food Protection Consortium, working with plastic packaging and recycling to evaluate contamination, regulation, and properties. Required Minimum Qualifications: PhD Preferred Qualifications: Experience
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funding. The start date is 1 September 2026. The appointee is expected to reside in the Helsinki Metropolitan Area during the employment. QUALIFICATIONS AND EVALUATION Applicants are required to hold a PhD
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. The research is aimed at developing an automated chemical platform for the synthesis and biological evaluation of natural products as leads for a drug discovery program. The lab and the core research facilities
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fields; proficiency in evaluating the effectiveness of learning materials; strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously
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. Selection process The Commission will take into account the following criteria and evaluate applications on a point scale: · Competence for specific tasks in a research project; · Previous scientific
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series of heterobimetallic complexes, graft them onto solid supports using a surface organometallic chemistry approach, and evaluate their catalytic performance in C-H bond activation. This work is part of
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techniques in vitro cell culture, gene expression analyses, protein analyses experience with cell phenotype data evaluation analyses communication skills Language requirements: active communication in English
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at least two individuals designated by them with appropriate scientific or professional qualifications. Candidates will be evaluated based on the criteria presented in the competition announcement
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: Experience with novel or high-throughput characterization methods; accelerated stress testing and stability evaluation of thin-film photovoltaics; and data-driven experimental optimization, including Bayesian