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: Completed PhD in a relevant discipline. Strong research background and competency in relevant research skills or areas for the post. Examples include: Demonstrated experience in microbial strain engineering
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treatment conditions. Development of analytical methods for the analyses of PFAS and their degradation products. Disseminating project results through scientific publications and conference presentations
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communicate your work, contributing to scientific publications, stakeholder presentations, and potential valorization or IP development. Job requirements A PhD in data science, applied physics, chemistry
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Computer Science, with specialization on applied machine learning, statistical methods, and/or autonomous systems Strong programming skills Strong analytical skills Industry experience in information and
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research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in soil science, agronomy, biology or similar Collaborative skills and
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water balance with data analytics to understand how variations in connectivity influence hydrograph characteristics, e.g. flood peaks and drought recession. A key objective is to identify and predict
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in impact delivery. Requirements Essential Skills, Qualifications & Experience: Completed PhD in a relevant discipline. Strong research background and competency in relevant research skills or areas
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regulating molecular responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through
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should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field . Experience in planning and executing experimental work in one or more of the following
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deliverables, as well as prepare research proposals to attract public and private funding Mentor and supervise PhD students and student assistants working on related topics For further information, please