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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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for students, line-manage Research Assistants and D.Phil. students, mentor on methods, analysis and career development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g
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Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis and visualization will be especially competitive. The ideal candidate
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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 7 hours ago
sciences, or a related field. Strong expertise in systems biology, multi-omics data integration, or computational analysis of complex biological datasets. Knowledge of obesity, metabolic disease biology
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on palaeoecological research, including peatland fieldwork, peat-core analysis and multiproxy reconstruction of past fire and ecosystem responses, alongside FTIR spectroscopy and data integration. You will work closely
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Departmental Website: https://profiles.stanford.edu/louise-sun(link is external) How to Submit Application Materials: Please submit your application to Ariadna Renteria at [email protected] . Does
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at: https://forms.gle/qxf5vo5kKmf9sBNV7 . Mandatory requirements: Bachelor’s degree in Biological Sciences and a PhD in Biotechnology, either completed or with the defense scheduled before the start of
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
that can be proposed should have an emphasis on field and/or laboratory science, but supportive modeling and data analysis can also be included. The project should clearly enunciate a well-defined set of one
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properties. Job Requirements REQUIRED: Ph.D. in peptide chemistry, organic chemistry, chemical biology, or related fields; demonstrated experience in advanced peptide synthesis; excellent quantitative analysis
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protocols. In close collaboration with the lab of George Coukos (https://agora-cancer.ch/laboratory/coukos-lab/ ), we will derive protocols enabling rapid expansion of cancer-specific, autologous TILs