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computer science or a closely related field (e.g., mathematics) The selected candidate is interested in declarative problem solving, combinatorial optimization, knowledge representation, and/or logic
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills are an asset.• You have an interest in supply
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and antigen expression for vaccine and diagnostic development.•Development and optimization of advanced immunological assays (ADE/ADCC) and yeast-surface display for antibody-antigen interaction studies
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(Chemistry) Profile: Knowledge of solvent extraction and separation chemistry is a plus Good skills in performing chemical experiments Ability to work in an interdisciplinary and collaborative environment
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numerical modelling techniques, such as the Finite Element Method (FEM). If not, I have a profound interest in these topics. Experience with/knowledge of nonlinear dynamics, optimization and associated
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professional activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with reinforcement learning, multi-objective optimization
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with an in depth characterization of the genotypic configuration of resulting 2n pollen Technical design and optimization of practical methods for inducing 2n pollen grains and obtaining triploid progeny