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Field
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students, postdoctoral fellows and other trainees. Qualifications Required Qualifications PhD in Neuroscience, Immunology, Vascular Biology or related field An excellent track record of publications
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Required PhD in chemistry, physics, materials science, chemical engineering, bioengineering, or a closely related field Strong problem-solving skills and a high level of self-motivation Experience with
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PhD in media and communication sciences (or language sciences, or an equivalent field). The postdoctoral fellowship is awarded for one year, in accordance with UCLouvain's pay scales. This call is aimed
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learning software and platforms (such as OpenML, scikit-learn, scipy). What we offer An employment contract for initially one year. After a positive evaluation of the progress of the research, personal
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science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
-based modeling, digital screening approaches, or new experimental analysis methods. You'll join an interdisciplinary team of currently four PhD students, three postdocs (including this position), and four
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) Positions PhD Positions Application Deadline 16 Jul 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Part-time Hours Per Week 30 Offer Starting Date 3 Jul 2026 Is the job
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to support your professional growth. Job requirements You hold, or expect to obtain before the start of the project, a PhD degree in a relevant discipline. You have a relevant research track record in one
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simulations using open-source code LAMMPS Publish research results in peer-reviewed journals Present findings at scientific conferences Required Qualifications PhD in plasma physics or a closely related field
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datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators