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thinker, eager to learn new experimental techniques, and enjoy collaborating with researchers from different disciplines as well as industrial partners. Furthermore, you meet the following requirements: You
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high-resolution mass spectrometry, in vitro pharmacological characterisation of new psychoactive substances, as well as metabolomics and machine learning. As a PhD student, you devote most of your time
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projects, collaborative research initiatives, and industrial partnerships that advance Finland’s growing role in space technology. Description of specific PhD project Please indicate in your cover letter
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essential, preferably in (1) Robotics for Nano manufacturing; or (2) Intelligent Instrumentation for Biomedical Applications. Those with the capability to initiate collaborative projects with researchers in
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 5 hours ago
biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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activity and synaptic dynamics using high-density 3D Multi-Electrode Arrays (3D-MEAs) — done in close collaboration with experts, providing full support as you learn to analyze this data. o Multi-Omic
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and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please
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have a collaborative and interdisciplinary mindset. You have excellent communication skills in English (oral and written) and either existing proficiency in or a willingness to learn Dutch. What we offer
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, military, and diplomatic repositories in the UK and internationally. The Centre's methodological approach is interdisciplinary, and the successful candidate will benefit from training and collaboration