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, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
, to large-scale functional imaging of brain circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student (m/f/d) to work on a joint project between the Neural
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will help characterise and develop optical techniques for satellite tracking, satellite identification and orbit determination. They will work with their supervisors and colleagues to further our
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Your job Do you have a strong affiliation with animal health and food safety? Are you a skilled project leader and do you like to work in multidisciplinary teams? Would you like to know everything
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spaces using PET analysis Conducting literature review, writing scientific publications, and presenting research results Mentoring student courses in radiochemistry and reactive transport Your profile
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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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. Eligibility You need to meet the entry requirements for a QUT Doctor of Philosophy including any English language requirements. Enrol as a full‑time, internal student (unless approval for part-time and/or
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opportunities for research exchanges and form an integral part of the supportive and stimulating IceLab research environment. Join IceLab to work at the forefront of multidisciplinary science, integrating
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. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in