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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus
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), Prof. Markus Grüninger (grueninger@ph2.uni-koeln.de ) and Prof. Marco Moretti (marco.moretti@polimi.it ) Expected profile Degree allowing enrollment for a PhD (such as MSc, Master 2 de Recherche, Laurea
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PhD position on ID14: Linking Elasticity of (Mg₁₋ₓFeₓ)O to Seismic Anomalies in Earth’s Lower Mantle
a team The applicant should hold a degree allowing enrolment for a PhD (such as MSc, Master 2 de Recherche, Laurea, or equivalent) in chemistry, physics, materials science, or a closely related field
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to improve immune therapies in cancer and inflammatory diseases. Key Skills, Demonstrated Experience and Qualifications ● Master’s degree (MSc) in Immunology, Molecular Biology, or Biomedical Sciences
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develop at least one new therapeutic target to combat epithelioid sarcoma. Required skillset: Applicants are expected to have the following: MSc or equivalent engineering degree in biology, biochemistry
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enrolment for a PhD (such as MSc, Master 2 de Recherche, Laurea or equivalent) in chemistry, materials science, physics or a closely related science. However minimum degree level may vary between universities
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: janosch.hennig@uni-bayreuth.de ). Expected profile - Degree allowing enrolment for a PhD (such as MSc, Master 2 de Recherche, Laurea or equivalent) in biochemistry or molecular biology, or a closely related
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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required: The candidate should have a strong interest in evolutionary genomics and ecology; should be willing to acquire an extensive training in bioinformatics and statistical data analysis; should have
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and youth studies, particularly health and risk behaviours of adolescents Familiarity with quantitative research methods Knowledge in statistics (descriptive and inferential analysis) Ability to work